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Current Search:
All of 'Image' and 'processing' in all fields;
366 items found
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Displaying Results 226 - 250 of 366 on page 10 of 15
Marked
Mark
Improving CBIR by modelling the search process: a Bayesian approach
(2006)
WILSON, SIMON PAUL
Improving CBIR by modelling the search process: a Bayesian approach
(2006)
WILSON, SIMON PAUL
Abstract:
non-peer-reviewed
In this paper we look at a simple image retrieval with relevance feedback scenario where we model simple properties of the search process. A content-based image retrieval method based on Bayesian inference is proposed that infers these search properties, as well as providing relevant images, from relevance feedback data. The approach is evaluated by performing searches for categories of image that invoke different emotional reactions.
http://hdl.handle.net/2262/32986
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
A Covert Encryption Method for Applications in Electronic Data Interchange
(2009)
Blackledge, Jonathan; Dubovitskiy, Dmitry
A Covert Encryption Method for Applications in Electronic Data Interchange
(2009)
Blackledge, Jonathan; Dubovitskiy, Dmitry
Abstract:
<p>A principal weakness of all encryption systems is that the output data can be ‘seen’ to be encrypted. In other words, encrypted data provides a ‘flag’ on the potential value of the information that has been encrypted. In this paper, we provide a new approach to ‘hiding’ encrypted data in a digital image.</p> <p>In conventional (symmetric) encryption, the plaintext is usually represented as a binary stream and encrypted using an XOR type operation with a binary cipher. The algorithm used is ideally designed to: (i) generate a maximum entropy cipher so that there is no bias with regard to any bit; (ii) maximize diffusion in terms of key dependency so that a change in any bit of the key can effect any, and potentially all, bits of the cipher. In the work reported here, we consider an approach in which a binary or low-bit plaintext image is encrypted with a decimal integer or floating point cipher using a convolution operation and the output quantized into a 1-bit a...
http://arrow.dit.ie/engscheleart2/27
Marked
Mark
Information Hiding by Stochastic Disfusion and its Application to Printed Document Authentication
(2009)
Blackledge, Jonathan M.; Coyle, Eugene
Information Hiding by Stochastic Disfusion and its Application to Printed Document Authentication
(2009)
Blackledge, Jonathan M.; Coyle, Eugene
Abstract:
<p>The use of image based information exchange has grown rapidly over the years in terms of both e-to-e image storage and transmission and in terms of maintaining paper documents in electronic form. Further, with the dramatic improvements in the quality of COTS (Commercial-O-The-Shelf) printing and scanning devices, the ability to counterfeit electronic and printed documents has become a widespread problem. Consequently, there has been an increasing demand to develop digital watermarking, information hiding and covert encryption methods which can be applied to both electronic and printed images (and documents) for the purposes of authentication, prevent unauthorized copying and, in the case of printed documents, withstand abuse and degradation before and during scanning. In this paper we consider the background to a new method to hiding image based information by diffusing it with a stochastic field (uniformly distributed noise). This 'diuffsion only' approach is us...
http://arrow.dit.ie/engscheleart/154
Marked
Mark
A Surface Inspection Machine Vision System that Includes Fractal Texture Analysis
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitry
A Surface Inspection Machine Vision System that Includes Fractal Texture Analysis
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitry
Abstract:
<p>The detection, recognition and classification of features in a digital image is an important component of quality control systems in production and process engineering and industrial systems monitoring, in general. In this paper, a new pattern recognition system is presented that has been designed for the specific task of monitoring the quality of sheet-steel production in a rolling mill. The system is based on using both the Euclidean and Fractal geometric properties of an imaged object to develop training data that is used in conjunction with a supervised learning procedure based on the application of a fuzzy inference engine. Thus, the classification method includes the application of a set of features which include fractal parameters such as the Lacunarity and Fractal Dimension and thereby incorporates the characterisation of an object in terms of texture that, in this application, has metallurgical significance.</p> <p>The principal issues associated with o...
http://arrow.dit.ie/engscheleart2/32
Marked
Mark
Comparison of Three Electronic Speckle Pattern Shearing
(2011)
Mihaylova, Emilia; Naydenova, Izabela; Toal, Vincent; Martin, Suzanne
Comparison of Three Electronic Speckle Pattern Shearing
(2011)
Mihaylova, Emilia; Naydenova, Izabela; Toal, Vincent; Martin, Suzanne
Abstract:
<p>Three electronic speckle pattern shearing interferometers (ESPSI) using photopolymer holographic gratings to produce the sheared image are presented. In the first ESPSI system two holographic gratings are used. The gratings are placed between the object and an imaging lens in front of the CCD camera. In the second ESPSI system one grating is used in combination with a sheet of ground glass. The sheared images on the ground glass are further imaged onto a CCD camera. In the third ESPSI system only one grating is used - it is placed in front of the object. The image and the sheared image are imaged onto the CCD camera, whose optical axis coincides with the normal to the object surface. The introduction of photopolymer holographic gratings in ESPSI systems gives the advantage of using high aperture optical elements at relatively low price. The systems are compared in terms of flexibility in their adjustment, sensitivity, suitability and limitations for different ...
http://arrow.dit.ie/cieocon2/23
Marked
Mark
A video-rate range sensor based on depth from defocus
(2001)
Ghita, Ovidiu; Whelan, Paul F.
A video-rate range sensor based on depth from defocus
(2001)
Ghita, Ovidiu; Whelan, Paul F.
Abstract:
Recovering the depth information derived from dynamic scenes implies real-time range estimation. This paper addresses the implementation of a bifocal range sensor which estimates the depth by measuring the relative blurring between two images captured with different focal settings. To recover the depth accurately even in cases when the scene is textureless, one possible solution is to project a structured light on the scene. As a consequence, in the scene's spectrum a spatial frequency derived from illumination pattern is evident. The resulting algorithm involves only simple local operations, this assures the possibility of computing the depth at a rate of 10 frames per second. The experimental results indicate that the accuracy of this proposed sensor compares well with that offered by other methods such as stereo and motion parallax, while avoiding the problems caused by occlusion and missing parts.
http://doras.dcu.ie/2457/
Marked
Mark
River water-level estimation using visual sensing
(2009)
O'Connor, Edel; Ó Conaire, Ciarán; Smeaton, Alan F.; O'Connor, Noel E.; Diamo...
River water-level estimation using visual sensing
(2009)
O'Connor, Edel; Ó Conaire, Ciarán; Smeaton, Alan F.; O'Connor, Noel E.; Diamond, Dermot
Abstract:
This paper reports our initial work on the extraction of en- vironmental information from images sampled from a camera deployed to monitor a river environment. It demonstrates very promising results for the use of a visual sensor in a smart multi-modal sensor network.
http://doras.dcu.ie/14795/
Marked
Mark
Automated in-camera detection of flasheye defects
(2005)
Corcoran, Peter M.; Bigioi, Petronel
Automated in-camera detection of flasheye defects
(2005)
Corcoran, Peter M.; Bigioi, Petronel
Abstract:
This paper examines the problem of performing automated real-time detection of flash eye defects (redeye) in the firmware of a digital camera. Several different algorithms are compared, timing and memory requirements on several embedded architectures are presented. A discussion on advanced in-camera techniques to improve on standard algorithms is also presented.
http://hdl.handle.net/10379/306
Marked
Mark
Speeding up Adaboost object detection with motion segmentation and Haar feature acceleration
(2009)
Ramachandruni, Radha Krishna
Speeding up Adaboost object detection with motion segmentation and Haar feature acceleration
(2009)
Ramachandruni, Radha Krishna
Abstract:
A key challenge in a surveillance system is the object detection task. Object detection in general is a non-trivial problem. A sub-problem within the broader context of object detection which many researchers focus on is face detection. Numerous techniques have been proposed for face detection. One of the better performing algorithms is proposed by Viola et. al. This algorithm is based on Adaboost and uses Haar features to detect objects. The main reason for its popularity is very low false positive rates and the fact that the classifier network can be trained for any detection task. The use of Haar basis functions to represent key object features is the key to its success. The basis functions are organized as a network to form a strong classifier. To detect objects, this technique divides each input image into non-overlapping sub-windows and the strong classifier is applied to each sub-window to detect the presence of an object. The process is repeated at multiple scales of the i...
http://doras.dcu.ie/14856/
Marked
Mark
Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data
(2009)
Picon, Artzai; Ghita, Ovidiu; Whelan, Paul F.; Iriondo, Pedro M.
Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data
(2009)
Picon, Artzai; Ghita, Ovidiu; Whelan, Paul F.; Iriondo, Pedro M.
Abstract:
Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation. In this paper, the nonferrous waste materials are studied as they cannot be sorted by classical procedures due to their color, weight and shape similarities. The experimental results presented in this paper reveal that factors such as the various levels of oxidization of the waste materials and the slight differences in their chemical composition preclude the use of the spectral features in a simplistic manner for robust material classification. To address these problems, the proposed FUSSER (fuzzy spectral and spatial classifier) algorithm detailed in this paper merges the spectral and spatial features to obtain a combined feature vector that is able to better sample the properties of the nonferrous materials than the single pixel spectral features when applied to the construction of multivariate Gaussian distributions....
http://doras.dcu.ie/15600/
Marked
Mark
User-Assisted Feature Correspondence Matching.
(2009)
KOKARAM, ANIL CHRISTOPHER; RING, DANIEL
User-Assisted Feature Correspondence Matching.
(2009)
KOKARAM, ANIL CHRISTOPHER; RING, DANIEL
Abstract:
Feature matching is a vital stage in many image processing applications. Finding accurate correspondences is made difficult by phenomena such as occlusions, non-rigid deformations, motion blur and more. We posit that some scenarios do not have enough information for an accurate automatic solution. Although many applications are required to be automatic, there are others that can benefit from being semi-automatic, allowing the user to provide assistance to areas where the system is failing. Good examples of this exist in the media post-production world, such as multi-view scene reconstruction, sparse-to-dense disparity estimation from view matching, image mosaic’ing (digital panoramas), or even motion estimation. The presented paper describes how to incorporate user-assistance into a Bayesian feature matching framework. By adding user information in the form of intuitive Bezier curves, difficult regions can be matched with the same accuracy as easier to match areas. The presented sys...
http://hdl.handle.net/2262/39336
Marked
Mark
Evaluation of perceived quality attributes of digital holograms viewed with a stereoscopic display
(2010)
Lehtimaki, Taina M.; Saaskilahti, Kirsti; Pitkaaho, Tomi; Naughton, Thomas J.
Evaluation of perceived quality attributes of digital holograms viewed with a stereoscopic display
(2010)
Lehtimaki, Taina M.; Saaskilahti, Kirsti; Pitkaaho, Tomi; Naughton, Thomas J.
Abstract:
Holography is a well-known technique for sensing and displaying real-world three-dimensional (3D) objects. Digital holograms have been successfully displayed on conventional stereoscopic displays allowing research into perception of quality of 3D holographic data. We do know that quality is enhanced if reconstructions of digital holograms are displayed with conventional stereoscopic displays rather than with a regular two-dimensional (2D) screen. However, it is not known how different attributes (e.g. noise, blur, and perceived depth) and the viewer's subjective perception of quality are related. In this study, we show how 13 viewers evaluated these attributes and the visual quality oftive holograms displayed stereoscopically
http://eprints.nuim.ie/2343/
Marked
Mark
Printed Document Authentication using Texture Coding
(2009)
Blackledge, Jonathan; Khaled, Mahmoud
Printed Document Authentication using Texture Coding
(2009)
Blackledge, Jonathan; Khaled, Mahmoud
Abstract:
<p>The use of image based information exchange has grown rapidly over the years in terms of both e-to-e image storage and transmission and in terms of maintaining paper documents in electronic form. Further, with the dramatic improvements in the quality of COTS (Commercial-Off-The-Shelf) printing and scanning devices, the ability to counterfeit electronic and printed documents has become a widespread problem. Consequently, there has been an increasing demand to develop digital watermarking techniques which can be applied to both electronic and printed images (and documents) that can be authenticated, prevent unauthorized copying of their content and, in the case of printed documents, withstand abuse and degradation before and during scanning. In this paper we consider the background to a novel approach to solving this problem that has been developed into practically realisable system.</p>
http://arrow.dit.ie/engscheleart2/24
Marked
Mark
Object Detection and Classification with Applications to Skin Cancer Screening
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitryi
Object Detection and Classification with Applications to Skin Cancer Screening
(2008)
Blackledge, Jonathan; Dubovitskiy, Dmitryi
Abstract:
<p>This paper discusses a new approach to the processes of object detection, recognition and classification in a digital image. The classification method is based on the application of a set of features which include fractal parameters such as the Lacunarity and Fractal Dimension. Thus, the approach used, incorporates the characterisation of an object in terms of its texture.</p> <p>The principal issues associated with object recognition are presented which includes two novel fast segmentation algorithms for which C++ code is provided. The self-learning procedure for designing a decision making engine using fuzzy logic and membership function theory is also presented and a new technique for the creation and extraction of information from a membership function considered.</p> <p>The methods discussed, and the ‘system’ developed, have a range of applications in ‘machine vision’. However, in this publication, we focus on the development and implementation ...
http://arrow.dit.ie/engscheleart2/33
Marked
Mark
Real-Time Fingerprint Analysis & Authentication for Embedded Appliances
(2007)
Callaly, Frank; Cucu, Catalin; Cucos, Alex; Leyden, Mark; Corcoran, Peter
Real-Time Fingerprint Analysis & Authentication for Embedded Appliances
(2007)
Callaly, Frank; Cucu, Catalin; Cucos, Alex; Leyden, Mark; Corcoran, Peter
Abstract:
A complete fingerprint analysis system is described. The design and architecture of a loadable device driver for a USB fingerprint sensor is described. Image processing filters to enhance the raw image data and to extract key points from fingerprint images are also described. Finally a novel pattern matching technique which allows fast authentication is described. The results of initial reliability testing and some example applications of fingerprint authentication in CE appliances are given.
http://hdl.handle.net/10379/1622
Marked
Mark
Using SenseCam images in a multimodal fusion framework for route detection and localisation
(2010)
Redzic, Milan; Brennan, Conor; O'Connor, Noel E.
Using SenseCam images in a multimodal fusion framework for route detection and localisation
(2010)
Redzic, Milan; Brennan, Conor; O'Connor, Noel E.
Abstract:
Problem of structuring location data is solved by proposing a framework for classifying the data into often-traversed routes. It does not rely on any one source of location information, but can fuse data from multimodal localisation sources: SenseCam images, GPS data and WLAN signal strengths.
http://doras.dcu.ie/16639/
Marked
Mark
Spread-space spread-spectrum technique for secure multiplexing
(2007)
Hennelly, Bryan M.; Naughton, Thomas J.; McDonald, John B.; Sheridan, John T.; Gopinath...
Spread-space spread-spectrum technique for secure multiplexing
(2007)
Hennelly, Bryan M.; Naughton, Thomas J.; McDonald, John B.; Sheridan, John T.; Gopinathan, Unnikrishnan; Kelly, Damien P.; Javidi, Bahram
Abstract:
A novel technique for multiplexing complex images is proposed in which each image may be demultiplexed only if a set of random encryption keys is known. The technique utilizes the ability of the double random phase encoding method to spread a signals’ energy in both the space and the spatial frequency domains in a controlled manner. To multiplex, images are independently encrypted with different phase keys and then superimposed by recording sequentially on the same material. Each image is extracted by using the particular key associated with it. During decryption the energy from the other images is further spread, making it possible to minimize its effects by using suitable filters. Wigner analysis is applied to the technique, and numerical results are presented.
http://hdl.handle.net/10197/3420
Marked
Mark
Handheld laser profilometry of certain medieval inscribed stones
(2006)
Murphy, Órla
Handheld laser profilometry of certain medieval inscribed stones
(2006)
Murphy, Órla
Abstract:
Higher Education Authority (PRTLI as part of National Development Plan)
Accepted Version
http://hdl.handle.net/10468/544
Marked
Mark
A framework for evaluating stereo-based pedestrian detection techniques
(2008)
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
A framework for evaluating stereo-based pedestrian detection techniques
(2008)
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
Abstract:
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been investigated using both traditional 2-D computer vision techniques and, more recently, 3-D stereo information. However, to date, a quantitative assessment of the performance of stereo-based pedestrian detection has been problematic, mainly due to the lack of standard stereo-based test data and an agreed methodology for carrying out the evaluation. This has forced researchers into making subjective comparisons between competing approaches. In this paper, we propose a framework for the quantitative evaluation of a short-baseline stereo-based pedestrian detection system. We provide freely available synthetic and real-world test data and recommend a set of evaluation metrics. This allows researchers to benchmark systems, not only with respect to other stereo-based approaches, but also with more traditional 2-D app...
http://doras.dcu.ie/652/
Marked
Mark
Measuring the influence of concept detection on video retrieval
(2009)
Toharia, Pablo; Robles, Oscar D. ; Smeaton, Alan F.; Rodríguez, Ángel
Measuring the influence of concept detection on video retrieval
(2009)
Toharia, Pablo; Robles, Oscar D. ; Smeaton, Alan F.; Rodríguez, Ángel
Abstract:
There is an increasing emphasis on including semantic concept detection as part of video retrieval. This represents a modality for retrieval quite different from metadata-based and keyframe similarity-based approaches. One of the premises on which the success of this is based, is that good quality detection is available in order to guarantee retrieval quality. But how good does the feature detection actually need to be? Is it possible to achieve good retrieval quality, even with poor quality concept detection and if so then what is the 'tipping point' below which detection accuracy proves not to be beneficial? In this paper we explore this question using a collection of rushes video where we artificially vary the quality of detection of semantic features and we study the impact on the resulting retrieval. Our results show that the impact of improving or degrading performance of concept detectors is not directly reflected as retrieval performance and this raises inter...
http://doras.dcu.ie/4607/
Marked
Mark
Neurological modeling of what experts vs. non-experts find interesting
(2009)
Smeaton, Alan F.; Wilkins, Peter; Healy, Graham; Ampatzis, Christos; Rusinski, M.; Izzo...
Neurological modeling of what experts vs. non-experts find interesting
(2009)
Smeaton, Alan F.; Wilkins, Peter; Healy, Graham; Ampatzis, Christos; Rusinski, M.; Izzo, Dario
Abstract:
The P3 and related ERP's have a long history of use to identify stimulus events in subjects as part of oddball-style experiments. In this work we describe the ongoing development of oddball style experiments which attempt to capture what a subject finds of interest or curious, when presented with a set of visual stimuli i.e. images. This joint work between Dublin City University (DCU) and the European Space Agency's Advanced Concepts Team (ESA ACT) is motivated by the challenges of autonomous space exploration where the time lag for sending data back to earth for analysis and then communicating an action or decision back to the spacecraft means that decision-making is slow. Also, when extraterrestrial sensors capture data, the determination of what data to send back to earth is driven by an expertly devised rule set, that is scientists need to determine apriori what will be of interest. This cannot adapt to novel or unexpected data that a scientist may find curious. Our wo...
http://doras.dcu.ie/4709/
Marked
Mark
Real time diffuse reflectance polarisation spectroscopy imaging to evaluate skin microcirculation
(2009)
O'Doherty, Jim; Henricson, Joakim; Nilsson, Gert E.; Anderson, Chris; Leahy, Marti...
Real time diffuse reflectance polarisation spectroscopy imaging to evaluate skin microcirculation
(2009)
O'Doherty, Jim; Henricson, Joakim; Nilsson, Gert E.; Anderson, Chris; Leahy, Martin J.
Abstract:
This article describes the theoretical development and design of a real-time microcirculation imaging system, an extension from a previously technology developed by our group. The technology utilises polarisation spectroscopy, a technique used in order to selectively gate photons returning from various compartments of human skin tissue, namely from the superficial layers of the epidermis, and the deeper backscattered light from the dermal matrix. A consumer-end digital camcorder captures colour data with three individual CCDs, and a custom designed light source consisting of a 24 LED ring light provides broadband illumination over the 400 nm - 700 nm wavelength region. Theory developed leads to an image processing algorithm, the output of which scales linearly with increasing red blood cell (RBC) concentration. Processed images are displayed online in real-time at a rate of 25 frames s(-1), at a frame size of 256 x 256 pixels, and is limited only by computer RAM memory and processin...
http://hdl.handle.net/10344/134
Marked
Mark
Anti-social behavior detection in audio-visual surveillance systems
(2009)
Kuklyte, Joglie; Kelly, Philip; Ó Conaire, Ciarán; O'Connor, Noel E.; Xu, Li-Qun
Anti-social behavior detection in audio-visual surveillance systems
(2009)
Kuklyte, Joglie; Kelly, Philip; Ó Conaire, Ciarán; O'Connor, Noel E.; Xu, Li-Qun
Abstract:
In this paper we propose a general purpose framework for detection of unusual events. The proposed system is based on the unsupervised method for unusual scene detection in web{cam images that was introduced in [1]. We extend their algorithm to accommodate data from different modalities and introduce the concept of time-space blocks. In addition, we evaluate early and late fusion techniques for our audio-visual data features. The experimental results on 192 hours of data show that data fusion of audio and video outperforms using a single modality.
http://doras.dcu.ie/15004/
Marked
Mark
Wireless aquatic navigator for detection and analysis (WANDA)
(2010)
Fay, Cormac; Lau, King-Tong ; Beirne, Stephen; Ó Conaire, Ciarán; McGuinness, Kevin; Co...
Wireless aquatic navigator for detection and analysis (WANDA)
(2010)
Fay, Cormac; Lau, King-Tong ; Beirne, Stephen; Ó Conaire, Ciarán; McGuinness, Kevin; Corcoran, Brian; O'Connor, Noel E.; Diamond, Dermot; McGovern, Scott; Coleman, Greg; Shepherd, Rod; Alici, Gursel; Spinks, Geoff; Wallace, Gordon
Abstract:
The cost of monitoring and detecting pollutants in natural waters is of major concern. Current and forthcoming bodies of legislation will continue to drive demand for spatial and selective monitoring of our environment, as the focus increasingly moves towards effective enforcement of legislation through detection of events, and unambiguous identification of perpetrators. However, these monitoring demands are not being met due to the infrastructure and maintenance costs of conventional sensing models. Advanced autonomous platforms capable of performing complex analytical measurements at remote locations still require individual power, wireless communication, processor and electronic transducer units, along with regular maintenance visits. Hence the cost base for these systems is prohibitively high, and the spatial density and frequency of measurements are insufficient to meet requirements. In this paper we present a more cost effective approach for water quality monitoring using ...
http://doras.dcu.ie/15407/
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