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Current Search:
All of 'Digital' and 'video' in all fields;
279 items found
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Displaying Results 226 - 250 of 279 on page 10 of 12
Marked
Mark
Detecting shadows and low-lying objects in indoor and outdoor scenes using homographies
(2005)
Kelly, Philip; Beardsley, Paul; Cooke, Eddie; O'Connor, Noel E.; Smeaton, Alan F.
Detecting shadows and low-lying objects in indoor and outdoor scenes using homographies
(2005)
Kelly, Philip; Beardsley, Paul; Cooke, Eddie; O'Connor, Noel E.; Smeaton, Alan F.
Abstract:
Many computer vision applications apply background suppression techniques for the detection and segmentation of moving objects in a scene. While these algorithms tend to work well in controlled conditions they often fail when applied to unconstrained real-world environments. This paper describes a system that detects and removes erroneously segmented foreground regions that are close to a ground plane. These regions include shadows, changing background objects and other low-lying objects such as leaves and rubbish. The system uses a set-up of two or more cameras and requires no 3D reconstruction or depth analysis of the regions. Therefore, a strong camera calibration of the set-up is not necessary. A geometric constraint called a homography is exploited to determine if foreground points are on or above the ground plane. The system takes advantage of the fact that regions in images off the homography plane will not correspond after a homography transformation. Experimental results us...
http://doras.dcu.ie/283/
Marked
Mark
Dublin City University at the TREC 2006 terabyte track
(2006)
Ferguson, Paul; Smeaton, Alan F.; Wilkins, Peter
Dublin City University at the TREC 2006 terabyte track
(2006)
Ferguson, Paul; Smeaton, Alan F.; Wilkins, Peter
Abstract:
For the 2006 Terabyte track in TREC, Dublin City University’s participation was focussed on the ad hoc search task. As per the pervious two years [7, 4], our experiments on the Terabyte track have concentrated on the evaluation of a sorted inverted index, the aim of which is to sort the postings within each posting list in such a way, that allows only a limited number of postings to be processed from each list, while at the same time minimising the loss of effectiveness in terms of query precision. This is done using the Físréal search system, developed at Dublin City University [4, 8].
http://doras.dcu.ie/312/
Marked
Mark
Experiments in terabyte searching, genomic retrieval and novelty detection for TREC 2004
(2004)
Blott, Stephen; Boydell, Oisín; Camous, Fabrice; Ferguson, Paul; Gaughan, Georgina; Gur...
Experiments in terabyte searching, genomic retrieval and novelty detection for TREC 2004
(2004)
Blott, Stephen; Boydell, Oisín; Camous, Fabrice; Ferguson, Paul; Gaughan, Georgina; Gurrin, Cathal; Jones, Gareth J.F.; Murphy, Noel; O'Connor, Noel E.; Smeaton, Alan F.; Smyth, Barry; Wilkins, Peter
Abstract:
In TREC2004, Dublin City University took part in three tracks, Terabyte (in collaboration with University College Dublin), Genomic and Novelty. In this paper we will discuss each track separately and present separate conclusions from this work. In addition, we present a general description of a text retrieval engine that we have developed in the last year to support our experiments into large scale, distributed information retrieval, which underlies all of the track experiments described in this document.
http://doras.dcu.ie/318/
Marked
Mark
Accurate recognition of large number of hand gestures
(2003)
Shamaie, Atid; Sutherland, Alistair
Accurate recognition of large number of hand gestures
(2003)
Shamaie, Atid; Sutherland, Alistair
Abstract:
A hierarchical gesture recognition algorithm is introduced to recognise a large number of gestures. Three stages of the proposed algorithm are based on a new hand tracking technique to recognise the actual beginning of a gesture using a Kalman filtering process, hidden Markov models and graph matching. Processing time is important in working with large databases. Therefore, special cares are taken to deal with the large number of gestures, which are partially similar.
http://doras.dcu.ie/320/
Marked
Mark
Segmenting broadcast news streams using lexical chains
(2002)
Stokes, Nicola; Carthy, Joe; Smeaton, Alan F.
Segmenting broadcast news streams using lexical chains
(2002)
Stokes, Nicola; Carthy, Joe; Smeaton, Alan F.
Abstract:
In this paper we propose a course-grained NLP approach to text segmentation based on the analysis of lexical cohesion within text. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. distinct news stories from broadcast news programmes. Our system SeLeCT first builds a set of lexical chains, in order to model the discourse structure of the text. A boundary detector is then used to search for breaking points in this structure indicated by patterns of cohesive strength and weakness within the text. We evaluate this technique on a test set of concatenated CNN news story transcripts and compare it with an established statistical approach to segmentation called TextTiling.
http://doras.dcu.ie/324/
Marked
Mark
Organising a daily visual diary using multifeature clustering
(2007)
Ó Conaire, Ciarán; O'Connor, Noel E.; Smeaton, Alan F.; Jones, Gareth J.F.
Organising a daily visual diary using multifeature clustering
(2007)
Ó Conaire, Ciarán; O'Connor, Noel E.; Smeaton, Alan F.; Jones, Gareth J.F.
Abstract:
The SenseCam is a prototype device from Microsoft that facilitates automatic capture of images of a person's life by integrating a colour camera, storage media and multiple sensors into a small wearable device. However, efficient search methods are required to reduce the user's burden of sifting through the thousands of images that are captured per day. In this paper, we describe experiments using colour spatiogram and block-based cross-correlation image features in conjunction with accelerometer sensor readings to cluster a day's worth of data into meaningful events, allowing the user to quickly browse a day's captured images. Two different low-complexity algorithms are detailed and evaluated for SenseCam image clustering.
http://doras.dcu.ie/339/
Marked
Mark
Efficient hardware architectures for MPEG-4 core profile
(2005)
Larkin, Daniel; Kinane, Andrew; Muresan, Valentin; O'Connor, Noel E.
Efficient hardware architectures for MPEG-4 core profile
(2005)
Larkin, Daniel; Kinane, Andrew; Muresan, Valentin; O'Connor, Noel E.
Abstract:
Efficient hardware acceleration architectures are proposed for the most demandingMPEG-4 core profile algorithms, namely; texture motion estimation (TME), binary motion estimation (BME)and the shape adaptive discrete cosine transform (SA-DCT). The proposed ME designs may also be used for H.264, since both architectures can handle variable block sizes. Both ME architectures employ early termination techniques that reduce latency and save needless memory accesses and power consumption. They also use a pixel subsampling technique to facilitate parallelism, while balancing the computational load. The BME datapath also saves operations by using Run Length Coded (RLC) pixel addressing. The SA-DCT module has a re-configuring multiplier-less serial datapath using adders and multiplexers only to improve area and power. The SA-DCT packing steps are done using a minimal switching addressing scheme with guarded evaluation. All three modules have been synthesised targeting the WildCard-II FPGA be...
http://doras.dcu.ie/354/
Marked
Mark
The CDVPlex biometric cinema: sensing physiological responses to emotional stimuli in film
(2006)
Rothwell, Sandra; Lehane, Bart; Chan, Ching Hau; Smeaton, Alan F.; O'Connor, Noel ...
The CDVPlex biometric cinema: sensing physiological responses to emotional stimuli in film
(2006)
Rothwell, Sandra; Lehane, Bart; Chan, Ching Hau; Smeaton, Alan F.; O'Connor, Noel E.; Jones, Gareth J.F.; Diamond, Dermot
Abstract:
We describe a study conducted to investigate the potential correlations between human subject responses to emotional stimuli in movies, and observed biometric responses. The experimental set-up and procedure are described, including details of the range of sensors used to detect and record observed physiological data (such as heart-rate, galvanic skin response, body temperature and movement). Finally, applications and future analysis of the results of the study are discussed.
http://doras.dcu.ie/364/
Marked
Mark
Movie indexing via event detection
(2006)
Lehane, Bart; O'Connor, Noel E.
Movie indexing via event detection
(2006)
Lehane, Bart; O'Connor, Noel E.
Abstract:
The past number of years has seen a large increase in the number of movies, and therefore movie databases, created. As movies are typically quite long, locating relevant clips in these databases is quite difficult unless a well defined index is in place. As movies are creatively made, creating automatic indexing algorithms is a challenging task. However, there are a number of underlying film grammar principles that are universally followed. By detecting and examining the use of these principles, it is possible to extract information about the occurrences of specific events in a movie. This work attempts to completely index a movie by detecting all of the relevant events. The event detection process involves examining the underlying structure of a movie and utilising audiovisual analysis techniques, supported by machine learning algorithms, to extract information based on this structure. This results in a summarised and indexed movie.
http://doras.dcu.ie/398/
Marked
Mark
TRECVID 2004 - an overview
(2004)
Kraaij, Wessel; Smeaton, Alan F.; Over, Paul
TRECVID 2004 - an overview
(2004)
Kraaij, Wessel; Smeaton, Alan F.; Over, Paul
http://doras.dcu.ie/411/
Marked
Mark
TRECVID 2005 - an overview
(2005)
Over, Paul; Ianeva, Tzveta; Kraaij, Wessel; Smeaton, Alan F.
TRECVID 2005 - an overview
(2005)
Over, Paul; Ianeva, Tzveta; Kraaij, Wessel; Smeaton, Alan F.
http://doras.dcu.ie/427/
Marked
Mark
TRECVid 2006 experiments at Dublin City University
(2006)
Koskela, Markus; Wilkins, Peter; Adamek, Tomasz; Smeaton, Alan F.; O'Connor, Noel E.
TRECVid 2006 experiments at Dublin City University
(2006)
Koskela, Markus; Wilkins, Peter; Adamek, Tomasz; Smeaton, Alan F.; O'Connor, Noel E.
Abstract:
In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2006. We submitted the following six automatic runs: • F A 1 DCU-Base 6: Baseline run using only ASR/MT text features. • F A 2 DCU-TextVisual 2: Run using text and visual features. • F A 2 DCU-TextVisMotion 5: Run using text, visual, and motion features. • F B 2 DCU-Visual-LSCOM 3: Text and visual features combined with concept detectors. • F B 2 DCU-LSCOM-Filters 4: Text, visual, and motion features with concept detectors. • F B 2 DCU-LSCOM-2 1: Text, visual, motion, and concept detectors with negative concepts. The experiments were designed both to study the addition of motion features and separately constructed models for semantic concepts, to runs using only textual and visual features, as well as to establish a baseline for the manually-assisted search runs performed within the collaborative K-Space project and described in the corresponding TRECVid 2006 notebook pa...
http://doras.dcu.ie/428/
Marked
Mark
K-Space at TRECVid 2006
(2006)
Wilkins, Peter; Adamek, Tomasz; Ferguson, Paul; Hughes, Mark; Jones, Gareth J.F.; Keena...
K-Space at TRECVid 2006
(2006)
Wilkins, Peter; Adamek, Tomasz; Ferguson, Paul; Hughes, Mark; Jones, Gareth J.F.; Keenan, Gordon; McGuinness, Kevin; Malobabić, Jovanka; O'Connor, Noel e.; Sadlier, David A.; Smeaton, Alan F.
Abstract:
In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated in two tasks, high-level feature extraction and search. We present our approaches for each of these activities and provide a brief analysis of our results. Our high-level feature submission made use of support vector machines (SVMs) created with low-level MPEG-7 visual features, fused with specific concept detectors. Search submissions were both manual and automatic and made use of both low- and high-level features. In the high-level feature extraction submission, four of our six runs achieved performance above the TRECVid median, whilst our search submission performed around the median. The K-Space team consisted of eight partner institutions from the EU-funded K-Space Network, and our submissions made use of tools and techniques from each partner. As such this paper will provide overviews of each partner’s contributions and provide appropriate references for specific descriptions of individua...
http://doras.dcu.ie/429/
Marked
Mark
TRECVID 2006 - an overview
(2006)
Over, Paul; Ianeva, Tzveta; Kraaij, Wessel; Smeaton, Alan F.
TRECVID 2006 - an overview
(2006)
Over, Paul; Ianeva, Tzveta; Kraaij, Wessel; Smeaton, Alan F.
http://doras.dcu.ie/430/
Marked
Mark
TRECVid 2007 experiments at Dublin City University
(2007)
Wilkins, Peter; Adamek, Tomasz; Jones, Gareth J.F.; O'Connor, Noel E.; Smeaton, Al...
TRECVid 2007 experiments at Dublin City University
(2007)
Wilkins, Peter; Adamek, Tomasz; Jones, Gareth J.F.; O'Connor, Noel E.; Smeaton, Alan F.
Abstract:
In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2007. We submitted the following six automatic runs: • F A 1 DCU-TextOnly6: Baseline run using only ASR/MT text features. • F A 1 DCU-ImgBaseline4: Baseline visual expert only run, no ASR/MT used. Made use of query-time generation of retrieval expert coefficients for fusion. • F A 2 DCU-ImgOnlyEnt5: Automatic generation of retrieval expert coefficients for fusion at index time. • F A 2 DCU-imgOnlyEntHigh3: Combination of coefficient generation which combined the coefficients generated by the query-time approach, and the index-time approach, with greater weight given to the index-time coefficient. • F A 2 DCU-imgOnlyEntAuto2: As above, except that greater weight is given to the query-time coefficient that was generated. • F A 2 DCU-autoMixed1: Query-time expert coefficient generation that used both visual and text experts.
http://doras.dcu.ie/431/
Marked
Mark
K-Space at TRECVid 2007
(2007)
Wilkins, Peter; Adamek, Tomasz; Byrne, Daragh; Jones, Gareth J.F.; Lee, Hyowon; Keenan,...
K-Space at TRECVid 2007
(2007)
Wilkins, Peter; Adamek, Tomasz; Byrne, Daragh; Jones, Gareth J.F.; Lee, Hyowon; Keenan, Gordon; McGuinness, Kevin; O'Connor, Noel E.; Smeaton, Alan F.
Abstract:
In this paper we describe K-Space participation in TRECVid 2007. K-Space participated in two tasks, high-level feature extraction and interactive search. We present our approaches for each of these activities and provide a brief analysis of our results. Our high-level feature submission utilized multi-modal low-level features which included visual, audio and temporal elements. Specific concept detectors (such as Face detectors) developed by K-Space partners were also used. We experimented with different machine learning approaches including logistic regression and support vector machines (SVM). Finally we also experimented with both early and late fusion for feature combination. This year we also participated in interactive search, submitting 6 runs. We developed two interfaces which both utilized the same retrieval functionality. Our objective was to measure the effect of context, which was supported to different degrees in each interface, on user performance. The first of the two ...
http://doras.dcu.ie/432/
Marked
Mark
TRECVID 2007 - Overview
(2007)
Over, Paul; Awad, George M.; Kraaij, Wessel; Smeaton, Alan F.
TRECVID 2007 - Overview
(2007)
Over, Paul; Awad, George M.; Kraaij, Wessel; Smeaton, Alan F.
http://doras.dcu.ie/433/
Marked
Mark
TRECVID 2003 - an overview
(2003)
Smeaton, Alan F.; Kraaij, Wessel; Over, Paul
TRECVID 2003 - an overview
(2003)
Smeaton, Alan F.; Kraaij, Wessel; Over, Paul
http://doras.dcu.ie/435/
Marked
Mark
Region-based segmentation of images using syntactic visual features
(2005)
Adamek, Tomasz; O'Connor, Noel E.; Murphy, Noel
Region-based segmentation of images using syntactic visual features
(2005)
Adamek, Tomasz; O'Connor, Noel E.; Murphy, Noel
Abstract:
This paper presents a robust and efficient method for segmentation of images into large regions that reflect the real world objects present in the scene. We propose an extension to the well known Recursive Shortest Spanning Tree (RSST) algorithm based on a new color model and so-called syntactic features [1]. We introduce practical solutions, integrated within the RSST framework, to structure analysis based on the shape and spatial configuration of image regions. We demonstrate that syntactic features provide a reliable basis for region merging criteria which prevent formation of regions spanning more than one semantic object, thereby significantly improving the perceptual quality of the output segmentation. Experiments indicate that the proposed features are generic in nature and allow satisfactory segmentation of real world images from various sources without adjustment to algorithm parameters.
http://doras.dcu.ie/453/
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
Evaluation of the influence of personality types on performance of shared tasks in a collaborative environment
(2008)
McGivney, Sinéad
Evaluation of the influence of personality types on performance of shared tasks in a collaborative environment
(2008)
McGivney, Sinéad
Abstract:
Computer Supported Cooperative Work (CSCW) is an area of computing that has been receiving much attention in recent years. Developments in groupware technology, such as MERL’s Diamondtouch and Microsoft’s Surface, have presented us with new, challenging and exciting ways to carry out group tasks. However, these groupware technologies present us with a novel area of research in the field of computing – that being multi-user Human-Computer Interaction (HCI). With multi-user HCI, we no longer have to cater for one person working on their own PC. We must now consider multiple users and their preferences as a group in order to design groupware applications that best suit the needs of that group. In this thesis, we aim to identify how groups of two people (dyads), given their various personality types and preferences, work together on groupware technologies. We propose interface variants to both competitive and collaborative systems in an attempt to identify what aspects of an interface ...
http://doras.dcu.ie/584/
Marked
Mark
Dublin City University at TRECVID 2008
(2008)
Wilkins, Peter; Kelly, Philip; Ó Conaire, Ciarán; Foures, Thomas; Smeaton, Alan F.; O...
Dublin City University at TRECVID 2008
(2008)
Wilkins, Peter; Kelly, Philip; Ó Conaire, Ciarán; Foures, Thomas; Smeaton, Alan F.; O'Connor, Noel E.
Abstract:
In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2008 we submitted 3 runs utilizing only visual retrieval experts, continuing our previous work in examining techniques for query-time weight generation for data-fusion and determining what we can get from global visual only experts. For the event detection task we submitted results for 5 required events (ElevatorNoEntry, OpposingFlow, PeopleMeet, Embrace and PersonRuns) and 1 optional event (DoorOpenClose).
http://doras.dcu.ie/2172/
Marked
Mark
Integrating multiple sensor modalities for environmental monitoring of marine locations
(2008)
O'Connor, Edel; Smeaton, Alan F.; O'Connor, Noel E.; Diamond, Dermot
Integrating multiple sensor modalities for environmental monitoring of marine locations
(2008)
O'Connor, Edel; Smeaton, Alan F.; O'Connor, Noel E.; Diamond, Dermot
Abstract:
In this paper we present preliminary work on integrating visual sensing with the more traditional sensing modalities for marine locations. We have deployed visual sensing at one of the Smart Coast WSN sites in Ireland and have built a software platform for gathering and synchronizing all sensed data. We describe how the analysis of a range of different sensor modalities can reinforce readings from a given noisy, unreliable sensor.
http://doras.dcu.ie/2229/
Marked
Mark
Providing effective memory retrieval cues through automatic structuring and augmentation of a lifelog of images
(2009)
Doherty, Aiden R.
Providing effective memory retrieval cues through automatic structuring and augmentation of a lifelog of images
(2009)
Doherty, Aiden R.
Abstract:
Lifelogging is an area of research which is concerned with the capture of many aspects of an individual's life digitally, and within this rapidly emerging field is the significant challenge of managing images passively captured by an individual of their daily life. Possible applications vary from helping those with neurodegenerative conditions recall events from memory, to the maintenance and augmentation of extensive image collections of a tourist's trips. However, a large lifelog of images can quickly amass, with an average of 700,000 images captured each year, using a device such as the SenseCam. We address the problem of managing this vast collection of personal images by investigating automatic techniques that: 1. Identify distinct events within a full day of lifelog images (which typically consists of 2,000 images) e.g. breakfast, working on PC, meeting, etc. 2. Find similar events to a given event in a person's lifelog e.g. "show me other events where I wa...
http://doras.dcu.ie/2270/
Marked
Mark
Biometric responses to music-rich segments in films: the CDVPlex
(2009)
Smeaton, Alan F.; Rothwell, Sandra
Biometric responses to music-rich segments in films: the CDVPlex
(2009)
Smeaton, Alan F.; Rothwell, Sandra
Abstract:
Summarising or generating trailers for films or movies involves finding the highlights within those films, those segments where we become most afraid, happy, sad, annoyed, excited, etc. In this paper we explore three questions related to automatic detection of film highlights by measuring the physiological responses of viewers of those films. Firstly, whether emotional highlights can be detected through viewer biometrics, secondly whether individuals watching a film in a group experience similar emotional reactions as others in the group and thirdly whether the presence of music in a film correlates with the occurrence of emotional highlights. We analyse the results of an experiment known as the CDVPlex, where we monitored and recorded physiological reactions from people as they viewed films in a controlled cinema-like environment. A selection of films were manually annotated for the locations of their emotive contents. We then studied the physiological peaks identified among part...
http://doras.dcu.ie/2475/
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