Institutions
|
About Us
|
Help
|
Gaeilge
0
1000
Home
Browse
Advanced Search
Search History
Marked List
Statistics
A
A
A
Show search options
Hide search options
Search using:
All
Any
None of these
Exact Phrase
in
Keyword (All Fields)
Title
Author
Subject
Institution
Funder
All
Any
None of these
Exact Phrase
in
Keyword (All Fields)
Title
Author
Subject
Institution
Funder
All
Any
None of these
Exact Phrase
in
Keyword (All Fields)
Title
Author
Subject
Institution
Funder
From
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
1971
1970
1969
1968
1967
1966
1965
1964
1963
1962
1961
1960
1959
1958
1957
1956
1955
1954
1953
1952
1951
1950
1949
1948
1947
1946
1944
1943
1942
1941
1940
1939
1938
1937
1936
1935
1934
1933
1932
1931
1930
1929
1928
1927
1925
1923
1920
1919
1917
1915
1914
1913
1912
1911
1909
1908
1907
1906
1905
1904
1903
1902
1901
1900
1899
1898
1897
1896
1895
1894
1893
1892
1891
1890
1889
1888
1887
1886
1885
1884
1883
1882
1881
1880
1879
1878
1877
1876
1875
1874
1873
1872
1871
1870
1869
1867
1866
1865
1864
1862
1861
1859
1858
1857
1856
1855
1854
1853
1852
1851
1849
To
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
1971
1970
1969
1968
1967
1966
1965
1964
1963
1962
1961
1960
1959
1958
1957
1956
1955
1954
1953
1952
1951
1950
1949
1948
1947
1946
1944
1943
1942
1941
1940
1939
1938
1937
1936
1935
1934
1933
1932
1931
1930
1929
1928
1927
1925
1923
1920
1919
1917
1915
1914
1913
1912
1911
1909
1908
1907
1906
1905
1904
1903
1902
1901
1900
1899
1898
1897
1896
1895
1894
1893
1892
1891
1890
1889
1888
1887
1886
1885
1884
1883
1882
1881
1880
1879
1878
1877
1876
1875
1874
1873
1872
1871
1870
1869
1867
1866
1865
1864
1862
1861
1859
1858
1857
1856
1855
1854
1853
1852
1851
1849
Optionally, filter by:
(Leave unchecked to search all fields)
Item Type
Book
Book chapter
Conference item
Contribution to newspaper/magazine
Doctoral thesis
Journal article
Master thesis (research)
Master thesis (taught)
Multimedia
Patent
Report
Review
Working paper
Other
Peer Review Status
Peer reviewed
Non peer reviewed
Unknown
Institution
Dublin City University
Dublin Institute of Technology
NUI Galway
NUI Maynooth
Trinity College Dublin
University College Cork
University College Dublin
University of Limerick
Funder
Enterprise Ireland (EI)
Environmental Protection Agency (EPA)
Health Research Board (HRB)
Higher Education Authority (HEA)
Irish Aid
Irish Research Council for Humanities and Social Sciences (IRCHSS)
Irish Research Council for Science Engineering and Technology (IRCSET)
Marine Institute
Science Foundation Ireland (SFI)
Teagasc
Language
Irish
English
Danish
French
German
Interlingue; Occidental
Italian
Japanese
Spanish; Castilian
Current Search:
All of 'Information' and 'retrieval' in all fields;
597 items found
Sort by
Relevance
Title
Author
Item type
Date
Institution
Peer review status
Language
Order
Ascending
Descending
25
50
100
per page
1
2
3
4
5
6
7
8
9
10
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Displaying Results 51 - 75 of 597 on page 3 of 24
Marked
Mark
Should MT systems be used as black boxes in CLIR?
(2011)
Magdy, Walid; Jones, Gareth J.F.
Should MT systems be used as black boxes in CLIR?
(2011)
Magdy, Walid; Jones, Gareth J.F.
Abstract:
The translation stage in cross language information retrieval (CLIR) acts as the main enabling stage to cross the language barrier between documents and queries. In recent years machine translation (MT) systems have become the dominant approach to translation in CLIR. However, unlike information retrieval (IR), MT focuses on the morphological and syntactical quality of the sentence. This requires large training resources and high computational power for training and translation. We present a novel technique for MT designed specifically for CLIR. In this method IR text pre-processing in the form of stop word removal and stemming are applied to the MT training corpus prior to the training phase. Applying this pre-processing step is found to significantly speed up the translation process without affecting the retrieval quality.
http://doras.dcu.ie/16395/
Marked
Mark
External query reformulation for text-based image retrieval
(2011)
Min, Jinming ; Jones, Gareth J.F.
External query reformulation for text-based image retrieval
(2011)
Min, Jinming ; Jones, Gareth J.F.
Abstract:
In text-based image retrieval, the Incomplete Annotation Problem (IAP) can greatly degrade retrieval effectiveness. A standard method used to address this problem is pseudo relevance feedback (PRF) which updates user queries by adding feedback terms selected automatically from top ranked documents in a prior retrieval run. PRF assumes that the target collection provides enough feedback information to select effective expansion terms. This is often not the case in image retrieval since images often only have short metadata annotations leading to the IAP. Our work proposes the use of an external knowledge resource (Wikipedia) in the process of refining user queries. In our method, Wikipedia documents strongly related to the terms in user query (" definition documents") are first identified by title matching between the query and titles of Wikipedia articles. These definition documents are used as indicators to re-weight the feedback documents from an initial search run on a...
http://doras.dcu.ie/16498/
Marked
Mark
An investigation of term weighting approaches for microblog retrieval
(2012)
Ferguson, Paul; OHare, Neil; Lanagan, James; Phelan, Owen; McCarthy, Kevin
An investigation of term weighting approaches for microblog retrieval
(2012)
Ferguson, Paul; OHare, Neil; Lanagan, James; Phelan, Owen; McCarthy, Kevin
Abstract:
The use of effective term frequency weighting and docu- ment length normalisation strategies have been shown over a number of decades to have a significant positive effect for document retrieval. When dealing with much shorter documents, such as those obtained from mi- croblogs, it would seem intuitive that these would have less benefit. In this paper we investigate their effect on microblog retrieval performance using the Tweets2011 collection from the TREC 2011 Microblog Track.
http://doras.dcu.ie/16788/
Marked
Mark
Evaluation campaigns and TRECVid
(2006)
Smeaton, Alan F.; Over, Paul; Kraaij, Wessel
Evaluation campaigns and TRECVid
(2006)
Smeaton, Alan F.; Over, Paul; Kraaij, Wessel
Abstract:
The TREC Video Retrieval Evaluation (TRECVid) is an international benchmarking activity to encourage research in video information retrieval by providing a large test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. TRECVid completed its fifth annual cycle at the end of 2005 and in 2006 TRECVid will involve almost 70 research organizations, universities and other consortia. Throughout its existence, TRECVid has benchmarked both interactive and automatic/manual searching for shots from within a video corpus, automatic detection of a variety of semantic and low-level video features, shot boundary detection and the detection of story boundaries in broadcast TV news. This paper will give an introduction to information retrieval (IR) evaluation from both a user and a system perspective, highlighting that system evaluation is by far the most prevalent type of evaluation carried out. We also include a summary of TRECVid as an exam...
http://doras.dcu.ie/415/
Marked
Mark
A study of remembered context for information access from personal digital archives
(2008)
Kelly, Liadh; Chen, Yi; Fuller, Marguerite; Jones, Gareth J.F.
A study of remembered context for information access from personal digital archives
(2008)
Kelly, Liadh; Chen, Yi; Fuller, Marguerite; Jones, Gareth J.F.
Abstract:
Retrieval from personal archives (or Human Digital Memories (HDMs)) is set to become a significant challenge in information retrieval (IR) research. These archives are unique in that the items in them are personal to the owner and as such the owner may have personal memories associated with the items. It is recognized that the harnessing of an individual’s memories about HDM items can be used as context data (such as user location at the time of item access) to aid retrieval. We present a pilot study, using one subject’s HDM, of remembered context data and its utility in retrieval. Our results explore the types of context data best remembered for different item types and categories over time and show that context appears to become a more important factor in effective HDM IR over time as the subject’s recall of contents declines.
http://doras.dcu.ie/15912/
Marked
Mark
Query dependent pseudo-relevance feedback based on wikipedia
(2009)
Xu, Yang ; Jones, Gareth J.F.; Wang, Bin
Query dependent pseudo-relevance feedback based on wikipedia
(2009)
Xu, Yang ; Jones, Gareth J.F.; Wang, Bin
Abstract:
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from an initial search are assumed to be relevant and used for PRF. One problem with this approach is that one or more of the top retrieved documents may be non-relevant, which can introduce noise into the feedback process. Besides, ex- isting methods generally do not take into account the signicantly different types of queries that are often entered into an IR system. Intuitively, Wikipedia can be seen as a large, manually edited document collection which could be exploited to improve document retrieval effectiveness within PRF. It is not obvious how we might best utilize information from Wikipedia in PRF, and to date, the potential of Wikipedia for this task has been largely unexplored. In our work, we present a systematic exploration of the utilization of Wikipedia in PRF for query dependent expansion. Specif...
http://doras.dcu.ie/16184/
Marked
Mark
Dilemmas in information science (IS) and information retrieval (IR): recurring challenges or new solutions?
(2009)
Thornley, Clare V.
Dilemmas in information science (IS) and information retrieval (IR): recurring challenges or new solutions?
(2009)
Thornley, Clare V.
Abstract:
Purpose: This paper analyses the extent to which understanding IS and IR as disciplines characterised by intractable dilemmas is a useful conceptual framework through reviewing and re-evaluating an important contribution to the field (Neill, 1987, 1992) in light of more recent developments. Design/methodology/approach: This paper reviews the discussion of central dilemmas within information science (IS) and information retrieval (IR), through literature review and conceptual analysis. It assesses the extent to which they remain intractable problems or whether improved solutions have been developed and discusses the implications of these ongoing challenges. The main problem addressed is, in Neill’s (1987, 1992) terminology “the dilemma of the subjective in information organisation and retrieval” which is understood as the problem of how the meaning of documents can be represented to meet the needs of the user. Findings: Many of the dilemmas discussed within IS and IR remain fairly in...
http://hdl.handle.net/10197/3605
Marked
Mark
Design, implementation and testing of an interactive video retrieval system
(2003)
Gaughan, Georgina; Smeaton, Alan F.; Gurrin, Cathal; Lee, Hyowon; McDonald, Kieran
Design, implementation and testing of an interactive video retrieval system
(2003)
Gaughan, Georgina; Smeaton, Alan F.; Gurrin, Cathal; Lee, Hyowon; McDonald, Kieran
Abstract:
In this paper we present and discuss the system we developed for the search task of the TRECVID 2002, and its evaluation in an interactive search task. To do this we will look at the strategy we used in designing the system, and we discuss and evaluate the experiments used to determine the value and effectiveness of one system incorporating both feature evidence and transcript retrieval compared to a transcript-only retrieval system. Both systems tested are built on the foundation of the Físchlár System developed and running for a number of years at the CDVP. The system is fully MPEG-7 compliant and uses XML for exchange of information within the overall architecture.
http://doras.dcu.ie/397/
Marked
Mark
Context and linking in retrieval from personal digital archives
(2008)
Kelly, Liadh
Context and linking in retrieval from personal digital archives
(2008)
Kelly, Liadh
Abstract:
Advances in digital capture and storage technologies mean that it is now possible to capture and store one’s entire life experiences in personal digital archives. These vast personal archives (or Human Digital Memories (HDMs)) pose new challenges and opportunities for the research community, not the least of which is developing effective means of retrieval from HDMs. Personal archive retrieval research is still in its infancy and there is much scope for novel research. My PhD proposes to develop effective HDM retrieval algorithms by combining rich sources of context associated with items, such as location and people present data, with information obtained by linking HDM items in novel ways.
http://doras.dcu.ie/15903/
Marked
Mark
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
(2010)
Magdy, Walid; Jones, Gareth J.F.
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
(2010)
Magdy, Walid; Jones, Gareth J.F.
Abstract:
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the effectiveness of the retrieval techniques applied to task under investigation. Unlike many existing well explored IR tasks where the focus is on achieving high retrieval precision, patent retrieval is to a significant degree a recall focused task. The standard evaluation metric used for patent retrieval evaluation tasks is currently mean average precision (MAP). However this does not reflect system recall well. Meanwhile, the alternative of using the standard recall measure does not reflect user search effort, which is a significant factor in practical patent search environments. In recent work we introduce a novel evaluation metric for patent retrieval evaluation (PRES) [ 13]. This is designed to reflect both system recall and user effort. Analysis of PRES demonstrated its greater effectiveness in evalua...
http://doras.dcu.ie/15831/
Marked
Mark
A study of query expansion methods for patent retrieval
(2011)
Magdy, Walid; Jones, Gareth J.F.
A study of query expansion methods for patent retrieval
(2011)
Magdy, Walid; Jones, Gareth J.F.
Abstract:
Patent retrieval is a recall-oriented search task where the objective is to find all possible relevant documents. Queries in patent retrieval are typically very long since they take the form of a patent claim or even a full patent application in the case of priorart patent search. Nevertheless, there is generally a significant mismatch between the query and the relevant documents, often leading to low retrieval effectiveness. Some previous work has tried to address this mismatch through the application of query expansion (QE) techniques which have generally showed effectiveness for many other retrieval tasks. However, results of QE on patent search have been found to be very disappointing. We present a review of previous investigations of QE in patent retrieval, and explore some of these techniques on a prior-art patent search task. In addition, a novel method for QE using automatically generated synonyms set is presented. While previous QE techniques fail to improve over baselin...
http://doras.dcu.ie/16517/
Marked
Mark
Aggregated feature retrieval for MPEG-7
(2003)
Ye, Jiamin; Smeaton, Alan F.
Aggregated feature retrieval for MPEG-7
(2003)
Ye, Jiamin; Smeaton, Alan F.
Abstract:
In this paper we present an initial study on the use of both high and low level MPEG-7 descriptions for video retrieval. A brief survey of current XML indexing techniques shows that an IR-based retrieval method provides a better foundation for retrieval as it satisfies important retrieval criteria such as content ranking and approximate matching. An aggregation technique for XML document retrieval is adapted to an MPEG-7 indexing structure by assigning semantic meanings to various audio/visual features and this is presented here.
http://doras.dcu.ie/279/
Marked
Mark
Overview of the CLEF-2005 cross-language speech retrieval track
(2006)
W. White, Ryen ; W. Oard, Douglas ; Jones, Gareth J.F.; Soergel, Dagobert ; Huang, Xia...
Overview of the CLEF-2005 cross-language speech retrieval track
(2006)
W. White, Ryen ; W. Oard, Douglas ; Jones, Gareth J.F.; Soergel, Dagobert ; Huang, Xiaoli
Abstract:
The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).
http://doras.dcu.ie/16204/
Marked
Mark
CLEF 2004 cross-language spoken document retrieval track
(2005)
Federico , Marcello ; Bertoldi, Nicola ; Levow, Gina-Anne ; Jones, Gareth J.F.
CLEF 2004 cross-language spoken document retrieval track
(2005)
Federico , Marcello ; Bertoldi, Nicola ; Levow, Gina-Anne ; Jones, Gareth J.F.
Abstract:
This is a summary report about the Cross-Language Spoken Document Retrieval Track held at CLEF 2004. The report gives brief details of CL-SDR task based again this year on the TREC 8-9 SDR task. This year the CL-SDR task worked with an unknown story boundaries condition. The paper reports results from the participants showing that as expected cross-language results are reduced relative to a monolingual baseline, although the amount to which they are degraded varies for topic languages.
http://doras.dcu.ie/16206/
Marked
Mark
Query expansion for language modeling using sentence similarities
(2011)
Ganguly, Debasis; Leveling, Johannes; Jones, Gareth J.F.
Query expansion for language modeling using sentence similarities
(2011)
Ganguly, Debasis; Leveling, Johannes; Jones, Gareth J.F.
Abstract:
We propose a novel method of query expansion for Language Modeling (LM) in Information Retrieval (IR) based on the similarity of the query with sentences in the top ranked documents from an initial retrieval run. In justification of our approach, we argue that the terms in the expanded query obtained by the proposed method roughly follow a Dirichlet distribution which, being the conjugate prior of the multinomial distribution used in the LM retrieval model, helps the feedback step. IR experiments on the TREC ad-hoc retrieval test collections using the sentence based query expansion (SBQE) show a significant increase in Mean Average Precision (MAP) compared to baselines obtained using standard term-based query expansion using LM selection score and the Relevance Model (RLM). The proposed approach to query expansion for LM increases the likelihood of generation of the pseudo-relevant documents by adding sentences with maximum term overlap with the query sentences for each top ranked pse...
http://doras.dcu.ie/16391/
Marked
Mark
Exploring structured documents and query formulation techniques for patent retrieval
(2010)
Magdy, Walid; Leveling, Johannes; Jones, Gareth J.F.
Exploring structured documents and query formulation techniques for patent retrieval
(2010)
Magdy, Walid; Leveling, Johannes; Jones, Gareth J.F.
Abstract:
This paper presents the experiments and results of DCU in CLEF-IP 2009. Our work applied standard information retrieval (IR) techniques to patent search. Different experiments tested various methods for the patent retrieval, including query formulation, structured index, weighted fields, document filtering, and blind relevance feedback. Some methods did not show expected good retrieval effectiveness such as blind relevance feedback, other experiments showed acceptable performance. Query formulation was the key to achieving better retrieval effectiveness, and this was performed through assigning higher weights to certain document fields. Further experiments showed that for longer queries, better results are achieved but at the expense of additional computations. For the best runs, the retrieval effectiveness is still lower than for IR applications for other domains, illustrating the difficulty of patent search. The official results have shown that among fifteen participants we ach...
http://doras.dcu.ie/16423/
Marked
Mark
An investigation of term weighting approaches for microblog retrieval
(2012)
Ferguson, Paul; O'Hare, Neil; Lanagan, James; Phelan, Owen; McCarthy, Kevin
An investigation of term weighting approaches for microblog retrieval
(2012)
Ferguson, Paul; O'Hare, Neil; Lanagan, James; Phelan, Owen; McCarthy, Kevin
Abstract:
The use of effective term frequency weighting and document length normalisation strategies have been shown over a number of decades to have a significant positive effect for document retrieval. When dealing with much shorter documents, such as those obtained from microblogs, it would seem intuitive that these would have less benefit. In this paper we investigate their effect on microblog retrieval performance using the Tweets2011 collection from the TREC 2011 Microblog Track.
http://doras.dcu.ie/16770/
Marked
Mark
TREC video retrieval evaluation: a case study and status report
(2004)
Smeaton, Alan F.; Kraaij, Wessel; Over, Paul
TREC video retrieval evaluation: a case study and status report
(2004)
Smeaton, Alan F.; Kraaij, Wessel; Over, Paul
Abstract:
The TREC Video Retrieval Evaluation is a multiyear, international effort, funded by the US Advanced Research and Development Agency (ARDA) and the National Institute of Standards and Technology (NIST) to promote progress in content-based retrieval from digital video via open, metrics-based evaluation. Now beginning its fourth year, it aims over time to develop both a better understanding of how systems can effectively accomplish such retrieval and how one can reliably benchmark their performance. This paper can be seen as a case study in the development of video retrieval systems and their evaluation as well as a report on their status to-date. After an introduction to the evolution of the evaluation over the past three years, the paper reports on the most recent evaluation TRECVID 2003: the evaluation framework — the 4 tasks (shot boundary determination, high-level feature extraction, story segmentation and typing, search), 133 hours of US television news data, and measures —, the ...
http://doras.dcu.ie/414/
Marked
Mark
New metrics for meaningful evaluation of informally structured speech retrieval
(2012)
Eskevich, Maria; Magdy, Walid; Jones, Gareth J.F.
New metrics for meaningful evaluation of informally structured speech retrieval
(2012)
Eskevich, Maria; Magdy, Walid; Jones, Gareth J.F.
Abstract:
Search effectiveness for tasks where the retrieval units are clearly defined documents is generally evaluated using standard measures such as mean average precision (MAP). However, many practical speech search tasks focus on content within large spoken files lacking defined structure. These data must be segmented into smaller units for search which may only partially overlap with relevant material. We introduce two new metrics for the evaluation of search effectiveness for informally structured speech data: mean average segment precision (MASP) which measures retrieval performance in terms of both content segmentation and ranking with respect to relevance; and mean average segment distance-weighted precision (MASDWP) which takes into account the distance between the start of the relevant segment and the retrieved segment. We demonstrate the eectiveness of these new metrics on a retrieval test collection based on the AMI meeting corpus.
http://doras.dcu.ie/16900/
Marked
Mark
A dialectical approach to information retrieval
(2007)
Thornley, Clare V.; Gibb, Forbes
A dialectical approach to information retrieval
(2007)
Thornley, Clare V.; Gibb, Forbes
Abstract:
Purpose:The paper explores the question of whether the often paradoxical and conceptually contradictory discipline of information retrieval (IR) can be understood more clearly when it is analysed from a dialectical perspective. Methodology/Approach:Conceptual analysis and literature review. Findings:A dialectical understanding of meaning can assist in clarifying some aspects of the complex nature of current IR theory. Research Implications:Philosophy has the potential to explore the conflicts and contradictions in IR and should not be used just as a means of synthesis and resolution. The use of the philosophy of meaning should include a broader understanding of the philosophical oppositions which lie behind the nature of meaning. Originality/value of paper:This paper suggests a new perspective on the role of meaning in IR: the dialectical model.
http://hdl.handle.net/10197/3604
Marked
Mark
Division of labour and sharing of knowledge for synchronous collaborative information retrieval
(2008)
Foley, Colum
Division of labour and sharing of knowledge for synchronous collaborative information retrieval
(2008)
Foley, Colum
http://doras.dcu.ie/552/
Marked
Mark
Using association rule mining to enrich semantic concepts for video retrieval
(2009)
Fatemi, Nastaran; Poulin, Florian; Raileany, Laura E.; Smeaton, Alan F.
Using association rule mining to enrich semantic concepts for video retrieval
(2009)
Fatemi, Nastaran; Poulin, Florian; Raileany, Laura E.; Smeaton, Alan F.
Abstract:
In order to achieve true content-based information retrieval on video we should analyse and index video with high-level semantic concepts in addition to using user-generated tags and structured metadata like title, date, etc. However the range of such high-level semantic concepts, detected either manually or automatically, usually limited compared to the richness of information content in video and the potential vocabulary of available concepts for indexing. Even though there is work to improve the performance of individual concept classifiers, we should strive to make the best use of whatever partial sets of semantic concept occurrences are available to us. We describe in this paper our method for using association rule mining to automatically enrich the representation of video content through a set of semantic concepts based on concept co-occurrence patterns. We describe our experiments on the TRECVid 2005 video corpus annotated with the 449 concepts of the LSCOM ontology....
http://doras.dcu.ie/4708/
Marked
Mark
Properties of optimally weighted data fusion in CBMIR
(2010)
Wilkins, Peter; Smeaton, Alan F.; Ferguson, Paul
Properties of optimally weighted data fusion in CBMIR
(2010)
Wilkins, Peter; Smeaton, Alan F.; Ferguson, Paul
Abstract:
Content-Based Multimedia Information Retrieval (CBMIR) systems which leverage multiple retrieval experts (En ) of- ten employ a weighting scheme when combining expert re- sults through data fusion. Typically however a query will comprise multiple query images (Im ) leading to potentially N × M weights to be assigned. Because of the large number of potential weights, existing approaches impose a hierarchy for data fusion, such as uniformly combining query image results from a single retrieval expert into a single list and then weighting the results of each expert. In this paper we will demonstrate that this approach is sub-optimal and leads to the poor state of CBMIR performance in benchmarking evaluations. We utilize an optimization method known as Coordinate Ascent to discover the optimal set of weights (|En | · |Im |) which demonstrates a dramatic difference be- tween known results and the theoretical maximum. We find that imposing common combinatorial hierarchies for data fu- sio...
http://doras.dcu.ie/15370/
Marked
Mark
Document expansion for image retrieval
(2010)
Min, Jinming ; Leveling, Johannes; Zhou, Dong; Jones, Gareth J.F.
Document expansion for image retrieval
(2010)
Min, Jinming ; Leveling, Johannes; Zhou, Dong; Jones, Gareth J.F.
Abstract:
Successful information retrieval requires effective matching between the user's search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors' of the documents. One potential approach to address problems of query-document term mismatch is document expansion to include additional topically relevant indexing terms in a document which may encourage its retrieval when relevant to queries which do not match its original contents well. We propose and evaluate a new document expansion method using external resources. While results of previous research have been inconclusive in determining the impact of document expansion on retrieval effectiveness, our method is shown to work effectively for text-based image retrieval of short image annotation documents. Our approach uses the Okapi query expansion algorithm as a method for document expansion. We further show improved performance can be achieved ...
http://doras.dcu.ie/15833/
Marked
Mark
Document expansion for image retrieval
(2010)
Min, Jinming; Leveling, Johannes; Zhou, Dong; Jones, Gareth J.F.
Document expansion for image retrieval
(2010)
Min, Jinming; Leveling, Johannes; Zhou, Dong; Jones, Gareth J.F.
Abstract:
Successful information retrieval requires eective matching between the user's search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors' of the documents. One potential approach to address problems of query-document term mismatch is document expansion to include additional topically relevant indexing terms in a document which may encourage its retrieval when relevant to queries which do not match its original contents well. We propose and evaluate a new document expansion method using external resources. While results of previous research have been inconclusive in determining the impact of document expansion on retrieval eectiveness, our method is shown to work eectively for text-based image retrieval of short image annotation documents. Our approach uses the Okapi query expansion algorithm as a method for document expansion. We further show improved performance can be achieved by usi...
http://doras.dcu.ie/15892/
Displaying Results 51 - 75 of 597 on page 3 of 24
1
2
3
4
5
6
7
8
9
10
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Item Type
Book (2)
Book chapter (6)
Conference item (490)
Doctoral thesis (26)
Journal article (55)
Master thesis (taught) (2)
Report (9)
Working paper (3)
Other (4)
Institution
Dublin City University (490)
NUI Galway (18)
NUI Maynooth (3)
Trinity College Dublin (33)
University College Dublin (21)
University of Limerick (3)
Dublin Institute of Technology (29)
Peer Review Status
Peer reviewed (508)
Non peer reviewed (78)
Unknown (11)
Year
2012 (14)
2011 (80)
2010 (83)
2009 (83)
2008 (71)
2007 (62)
2006 (56)
2005 (46)
2004 (33)
2003 (19)
2002 (16)
2001 (17)
2000 (5)
1999 (7)
1998 (1)
1997 (2)
1994 (2)
built by Enovation Solutions