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Current Search:
All of 'Electronic' and 'Engineering' in all fields;
908 items found
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Displaying Results 826 - 850 of 908 on page 34 of 37
Marked
Mark
Is Irish innovation policy working? evidence from Irish technology businesses
(2008)
Jordan, D.; O'Leary, Eoin
Is Irish innovation policy working? evidence from Irish technology businesses
(2008)
Jordan, D.; O'Leary, Eoin
Abstract:
In the last decade Irish innovation policy has been focused on Higher Education Institutions (HEIs). This paper explores the effects of HEIs, in the context of interaction with other interaction agents, on the innovation output of Irish high-technology businesses. Based on a survey of 184 businesses in the Chemical and Pharmaceutical, Information and Communications Technology and Engineering and Electronic Devices sectors, the paper estimates the importance of in-house R&D activity and external interaction with HEIs, support agencies and other businesses for product and process innovation. A key finding is that the greater the frequency of direct interaction with HEIs the lower the probability of both product and process innovation in these businesses. There is some evidence of a positive indirect HEI effect, through complementarities of interactions with suppliers and support agencies. However, while external interaction is important for innovation output, there is little evide...
http://hdl.handle.net/2262/28015
Marked
Mark
Rotation detection using the Curl equation
(2007)
KOKARAM, ANIL CHRISTOPHER
Rotation detection using the Curl equation
(2007)
KOKARAM, ANIL CHRISTOPHER
Abstract:
peer-reviewed
http://hdl.handle.net/2262/27642
Marked
Mark
Feature-based object modelling for visual surveillance
(2008)
BAUGH, GARY; KOKARAM, ANIL CHRISTOPHER
Feature-based object modelling for visual surveillance
(2008)
BAUGH, GARY; KOKARAM, ANIL CHRISTOPHER
http://hdl.handle.net/2262/27640
Marked
Mark
Implicit spatial inference with sparse local features
(2008)
KOKARAM, ANIL CHRISTOPHER; O'REGAN, DEIRDRE
Implicit spatial inference with sparse local features
(2008)
KOKARAM, ANIL CHRISTOPHER; O'REGAN, DEIRDRE
http://hdl.handle.net/2262/27639
Marked
Mark
Architecture for Integrated Telecommunication Management Platforms
(1993)
WADE, VINCENT PATRICK
Architecture for Integrated Telecommunication Management Platforms
(1993)
WADE, VINCENT PATRICK
Abstract:
peer-reviewed
Telecommunication management network (TMN) systems represent diverse telecommunication domains with wideranging functionality which frequently employ different technologies and produce isolated solutions. Yet as telecommunications become more sophisticated, there is a growing need for telecommunication management integration and interoperability. The paper presents a general TMN computing-platform architecture which is flexible and powerful enough to support contrasting TMN management applications while facilitating integration. To validate the architecture, three diverse management applications were profiled based on components of the TMN platform architecture. Core infrastructure components, required by a broad range of TMN applications, are identified and examined and TMNspecific technology is highlighted.
http://hdl.handle.net/2262/27021
Marked
Mark
Dynamic Features for Segmental Speech Recognition
(1996)
HARTE, NAOMI
Dynamic Features for Segmental Speech Recognition
(1996)
HARTE, NAOMI
Abstract:
peer-reviewed
Speech models and features that emphasise the dynamic aspects of speech can provide improved speech recognition. The cepstral time matrix has been established as a successful method of encoding dynamics. The paper extends this set of dynamic features, considering cepstral time features on both a segmental and subsegmental level. This offers the potential of using a conditional PDF for the state observation within a HMM and incorporating this into the training stage. Methods of linear discriminative analysis are applied to the new feature set to identify the subset of features making the greatest contribution to the task of recognition
http://hdl.handle.net/2262/25282
Marked
Mark
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
(1998)
HARTE, NAOMI
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
(1998)
HARTE, NAOMI
Abstract:
peer-reviewed
Multi-resolution sub-band cepstral features strive to exploit discriminative cues in localised regions of the spectral domain by supplementing the full bandwith cepstral features with subband cepstral features derived from several levels of sub-band decomposition. Mult-iresolution feature vectors, formed by concatenation of the subband cepstral features into an extended feature vector, are shown to yield better performance than conventional MFCCs for phoneme recognition on the TIMIT database. Possible strategies for the recombination of partial recognition scores from independent multi-resoltuion sub-band models are explored. By exploiting the sub-band variations in signal to noise ratio for linearly weighted recombination of the log likelihood probabilities we obtained improved phoneme recognition performance in broadband noise compared to MFCC features. This is an advantage over a purely sub-band approach using non linear recombination which is robust only to nar...
http://hdl.handle.net/2262/25279
Marked
Mark
Blind Source Separation of Speech in Hardware
(2005)
HARTE, NAOMI
Blind Source Separation of Speech in Hardware
(2005)
HARTE, NAOMI
Abstract:
peer-reviewed
This paper presents preliminary work on a hardware implementation of a source separation algorithm employing time-frequency masking methods. DUET (Degenerate Unmixing Estimation Technique) has previously been shown to achieve excellent source separation in real time in software. The current work is a move towards a hardware realization of DUET that will allow integration of the algorithm into consumer devices. Initial stages involve investigating the performance of DUET when implemented in fixed-point arithmetic and a consideration of algorithmic changes to make DUET more amenable to implementation on a DSP processor. Performance is compared for floating-point and fixed-point implementations. A Weighted K-means clustering algorithm is presented as an alternative to gradient descent methods for peak tracking and demonstrated to achieve excellent performance without adversely affecting computational load. Preliminary performance figures are given for an implementatio...
http://hdl.handle.net/2262/25260
Marked
Mark
Towards a Hardware Realization of Time-Frequency Source Separation of Speech
(2005)
HARTE, NAOMI
Towards a Hardware Realization of Time-Frequency Source Separation of Speech
(2005)
HARTE, NAOMI
Abstract:
peer-reviewed
This paper presents preliminary work on a hardware implementation of a source separation algorithm employing time-frequency masking methods. DUET (Degenerate Unmixing Estimation Technique) has previously been shown to achieve excellent source separation in real time in software. The current work is a move towards a hardware realization of DUET that will allow integration of the algorithm into consumer devices. Initial stages involve investigating the performance of DUET when implemented in fixed-point arithmetic and a consideration of algorithmic changes to make DUET more amenable to implementation on a DSP processor. Performance is compared for floating-point and fixed-point implementations. A Weighted K-means clustering algorithm is presented as an alternative to gradient descent methods for peak tracking and demonstrated to achieve excellent performance without adversely affecting computational load. Preliminary performance figures are given for an implementatio...
http://hdl.handle.net/2262/25242
Marked
Mark
Exploiting Voicing Cues for Contrast Enhanced Frequency Shaping of Speech for Impaired Listeners
(2006)
HARTE, NAOMI
Exploiting Voicing Cues for Contrast Enhanced Frequency Shaping of Speech for Impaired Listeners
(2006)
HARTE, NAOMI
Abstract:
peer-reviewed
This paper investigates the use of voicing information as an additional cue in contrast enhanced frequency shaping (CEFS) of speech to improve perception in the hearing impaired. The presented work builds on an existing system combining multiband compression with contrast enhanced frequency shaping (MICEFS) to restore the auditory nerve response of a hearing impaired listener. CEFS can improve the perception of voiced segments. Hence voicing cues are used to differentiate segments for processing. Alternative processing for unvoiced segments is investigated and shown to improve neural representation of unvoiced segments compared to using MICEFS processing alone.
http://hdl.handle.net/2262/25239
Marked
Mark
A new global estimation algorithm and its application to retrieval in sport events
(2001)
KOKARAM, ANIL CHRISTOPHER
A new global estimation algorithm and its application to retrieval in sport events
(2001)
KOKARAM, ANIL CHRISTOPHER
Abstract:
We propose a novel global motion estimation technique based on weighted gradient and displaced frame difference (DFD) associated with Wiener estimation. Then, we apply this technique to parse events of a high level of understanding in a cricket game. A user oriented analysis of the game then reveals a distinct connection between the global motion and specific events. By estimating global motion and analysing the temporal evolution of the estimated motion parameters, we present an effective process for the extraction of cricket events, leading to a success rate of 88.9%
http://hdl.handle.net/2262/24569
Marked
Mark
An improved error resilience scheme for highly compressed data
(2002)
KOKARAM, ANIL CHRISTOPHER
An improved error resilience scheme for highly compressed data
(2002)
KOKARAM, ANIL CHRISTOPHER
Abstract:
The coding of highly compressed data streams involves removing as much redundancy from the stream as possible. However, as redundancy is removed, so is the ability of the decoder to recover from error conditions caused by wireless channels, or other lossy communications links. Standard techniques for providing some protection to the stream against channel errors usually involve adding a controlled amount of redundancy back into the stream. Such redundancy might take the form of resynchronization markers, which enable the decoder to restart the decoding process from a known state, in the event of transmission errors. Transcoding schemes, i.e. algorithms which rearrange the data without altering the bitstream length, can be very successful too; the Error Resilient Entropy Coding (EREC) scheme is particularly applicable to compressed video streams. EREC can be quite easily incorporated into the stack architecture of common communications protocols. This paper presents a modification to...
http://hdl.handle.net/2262/24568
Marked
Mark
Joint Audio Visual Retrieval for Tennis Broadcasts,
(2003)
KOKARAM, ANIL CHRISTOPHER
Joint Audio Visual Retrieval for Tennis Broadcasts,
(2003)
KOKARAM, ANIL CHRISTOPHER
Abstract:
In recent years, there has been increasing work in the area of content retrieval for sports. The idea is generally to extract important events or create summaries to allow personalisation of the media stream. While previous work in sports analysis has employed either the audio or video stream to achieve some goal, there is little work that explores how much can be achieved by combining the two streams. This paper combines both audio and image features to identify the key episode in tennis broadcasts. The image feature is based on image moments and is able to capture the essence of scene geometry without recourse to 3D modelling. The audio feature uses PCA to identify the sound of the ball hitting the racket. The features are modelled as stochastic processes and the work combines the features using a likelihood approach. The results show that combining the features yields a much more robust system than using the features separately.
http://hdl.handle.net/2262/24566
Marked
Mark
Line scratches detection and restoration via light diffraction
(2003)
KOKARAM, ANIL CHRISTOPHER
Line scratches detection and restoration via light diffraction
(2003)
KOKARAM, ANIL CHRISTOPHER
Abstract:
SFI
http://hdl.handle.net/2262/24564
Marked
Mark
A Bayesian Framework for Recursive Object Removal in Movie Post-Production
(2003)
KOKARAM, ANIL CHRISTOPHER
A Bayesian Framework for Recursive Object Removal in Movie Post-Production
(2003)
KOKARAM, ANIL CHRISTOPHER
Abstract:
peer-reviewed
Some of the most convincing film and video effects are created in digital post-production by removing apparatus that supports or manipulates actors and objects. Wires and people, for instance, can be removed by digitally painting them out of the scene provided some 'clean plate' image is available for pasting in the missing regions. This paper addresses the problem when no such plate is available. Object removal requires the estimation of the motion of the hidden material and then the reconstruction of the missing image data. Using the notion of temporal motion smoothness, this paper articulates the two problems using a Bayesian framework and so develops a unique tool for automated object removal. The tool is currently being tested in the film effects industry and initial feedback is very positive.
http://hdl.handle.net/2262/24565
Marked
Mark
Detection of Illegal Dumping from CCTV at Recycling Centres
(2007)
RANKIN, ANDREW; BAUGH, GARY; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Detection of Illegal Dumping from CCTV at Recycling Centres
(2007)
RANKIN, ANDREW; BAUGH, GARY; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper describes initial work on a framework for automatic detection of illegal dumping from CCTV footage from recycle centres. Frames are seperated into foreground and background regions using a Bayesian approach that combines global motion estimates with image based information to generate a robust segmentation. The framework hence avoids explicit modelling and tracking of objects in the scene such as cars, people or rubbish bags. A feature extraction stage with diagnostics will be presented.
http://hdl.handle.net/2262/19799
Marked
Mark
Classification and representation of semantic content in broadcast tennis videos
(2005)
KOKARAM, ANIL CHRISTOPHER
Classification and representation of semantic content in broadcast tennis videos
(2005)
KOKARAM, ANIL CHRISTOPHER
Abstract:
peer-reviewed
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a semantic event. This object is tracked using a colour based particle filter. The video syntax and audio features are used to help delineate the temporal boundaries of these events. For broadcast tennis footage, the system firstly parses the video sequence based on the geometry of the content in view and classifies the clip as a particular view type. The temporal behaviour of the serving player is modelled using a HMM. As a result, each model is representative of a particular semantic episode. Events are then summarised using a number of synthesised keyframes.
http://hdl.handle.net/2262/19779
Marked
Mark
N-dimensional probability density function transfer and its aplication to colour transfer
(2005)
KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS
N-dimensional probability density function transfer and its aplication to colour transfer
(2005)
KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS
Abstract:
This article proposes an original method to estimate a continuous transformation that maps one N-dimensional distribution to another. The method is iterative, non-linear, and is shown to converge. Only 1D marginal distribution is used in the estimation process, hence involving low computation costs. As an illustration this mapping is applied to color transfer between two images of different contents. The paper also serves as a central focal point for collecting together the research activity in this area and relating it to the important problem of automated color grading.
http://hdl.handle.net/2262/19800
Marked
Mark
Threshold learning from samples drawn from the null hypothesis for the generalized likelihood ratio cusum test
(2005)
KOKARAM, ANIL CHRISTOPHER
Threshold learning from samples drawn from the null hypothesis for the generalized likelihood ratio cusum test
(2005)
KOKARAM, ANIL CHRISTOPHER
Abstract:
Although optimality of sequential tests for the detection of a change in the parameter of a model has been widely discussed, the test parameter tuning is still an issue. In this communication, we propose a learning strategy to set the threshold of the GLR CUSUM statistics to take a decision with a desired false alarm probability. Only data before the change point are required to perform the learning process. Extensive simulations are performed to assess the validity of the proposed method. The paper is concluded by opening the path to a new approach to multi-modal feature based event detection for video parsing
http://hdl.handle.net/2262/19819
Marked
Mark
Non-parametric wavelet based texture synthesis
(2005)
KOKARAM, ANIL CHRISTOPHER
Non-parametric wavelet based texture synthesis
(2005)
KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper presents a new algorithm for synthesising image texture. Texture synthesis is an important process in image post-production. Previous approaches can be classified as either parametric or nonparametric. Of these nonparametric approaches have achieved the most impressive results. Unfortunately, these methods generally suffer from high computational cost and difficulty in handling scale in the synthesis process. This paper introduces a new idea of using wavelet decomposition as a basis for nonparametric texture synthesis. The results show an order of magnitude improvement in computational speed and a better approximation of the dominant scale in the synthesised texture.
http://hdl.handle.net/2262/19820
Marked
Mark
Inlier modeling for multimedia data analysis
(2004)
KOKARAM, ANIL CHRISTOPHER
Inlier modeling for multimedia data analysis
(2004)
KOKARAM, ANIL CHRISTOPHER
Abstract:
peer-reviewed
This paper presents a robust method to estimate the unknown standard deviation of a centred normal distribution from a mixture density. This method is applied to different signal processing problems. The first one concerns silence segmentation from audio data. The second application deals with colour class parameter extraction. In this later case, the mean is also estimated from the observations.
http://hdl.handle.net/2262/19839
Marked
Mark
Two layer segmentation for handling pathological motion in degraded post production media
(2004)
KOKARAM, ANIL CHRISTOPHER
Two layer segmentation for handling pathological motion in degraded post production media
(2004)
KOKARAM, ANIL CHRISTOPHER
Abstract:
The paper presents a mechanism for dealing with incorrect motion estimation in degraded post production image sequences. This tends to be caused by pathological motion (a combination of motion blur, complex foreground motion, shadows, etc.). We describe a method for estimating where such regions are likely to occur by segmenting sequences into foreground and background motion. We show it is possible to produce a conservative matte of which regions in a sequence are foreground, and that blotch (dirt and sparkle defects) detection can be adapted accordingly in such areas.
http://hdl.handle.net/2262/24559
Marked
Mark
Gradient Based Dominant Motion Estimation with Integral Projections for Real Time Video Stabilisation,
(2004)
KOKARAM, ANIL CHRISTOPHER
Gradient Based Dominant Motion Estimation with Integral Projections for Real Time Video Stabilisation,
(2004)
KOKARAM, ANIL CHRISTOPHER
Abstract:
This paper presents a new expression of the relationship between integral projections and motion in an image pair. The resulting new multiresolution gradient based approach is used to estimate dominant motion in image sequences degraded by random shake. The paper also describes an implementation using the GPU as a coprocessor for the CPU that allows, for the first time, real time video stabilisation in software on broadcast standard definition television images
http://hdl.handle.net/2262/24560
Marked
Mark
Modeling High Level Structure in Sports with Motion Driven HMMs,
(2004)
KOKARAM, ANIL CHRISTOPHER
Modeling High Level Structure in Sports with Motion Driven HMMs,
(2004)
KOKARAM, ANIL CHRISTOPHER
Abstract:
In this paper, we investigate the retrieval of dynamic events that occur in broadcast sports footage. Dynamic events in sports are important in so far as they are related to the game semantics. Thus far, the temporal interleaving of camera views has been used to infer these types of events. We propose the use of the spatio-temporal behaviour of an object in the footage as an embodiment of a semantic event. This is accomplished by modeling the evolution of the position of the object with a hidden Markov model (HMM). Snooker is used as an example for the purpose of this research. The system firstly parses the video sequence based on the geometry of the content in the camera view and classifies the footage as a particular view type. Secondly, we consider the relative position of the white ball on the snooker table over the duration of a clip to embody semantic events. A colour based particle filter is employed to robustly track the snooker balls. The temporal behaviour of the white bal...
http://hdl.handle.net/2262/24562
Marked
Mark
Self-assembled uniaxial and biaxial multilayer structures in chiral smectic liquid crystals frustrated between ferro- and antiferroelectricity
(2004)
FUKUDA, ATSUO; PANOV, VITALI; VIJ, JAGDISH KUMAR
Self-assembled uniaxial and biaxial multilayer structures in chiral smectic liquid crystals frustrated between ferro- and antiferroelectricity
(2004)
FUKUDA, ATSUO; PANOV, VITALI; VIJ, JAGDISH KUMAR
Abstract:
peer-reviewed
With a view to obtain a molecular model for the subphases produced by the frustration between ferro- and antiferroelectricity in chiral smectic liquid crystals, we report results on two compounds and observe (i) the staircase character of uniaxial SmCα* itself in the bulk and (ii) the multipeaked characteristic reflection bands due to the modulated helical structures just above the SmCA* temperature range. We suggest the emergence of several uniaxial and biaxial subphases. The results show that both types of subphases can be specified by qT=[F]∕([A]+[F]) in the zero-order approximation; [A] and [F] are the numbers of antiferroelectric and ferroelectric orderings in the unit cell. We consider the basis of both types of subphases, particularly the description of the short-pitch helical structure of SmCα* , in terms of the molecular models so far proposed and emphasize the important role played by the discrete flexoelectric polarization.
http://hdl.handle.net/2262/19259
Displaying Results 826 - 850 of 908 on page 34 of 37
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