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Using overlapping distributions to deal with face pose mismatch

Using overlapping distributions to deal with face pose misma...

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2005 16th British Machine Vision Conference, BMVC 2005

作者： Lucey, Simon Chen, Tsuhan Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)1901725294

Representing the face as a distribution of freely moving patches, which we refer to as a "free-parts" representation, has recently demonstrated some benefit in the task of face verification. This benefit can be largely attributed to the representation's natural ability to deal with local appearance variation within the face. Hitherto, a major limitation that has hindered the wider adoption of this type of facial representation, for the task of face verification, has been its poor ability to take advantage of prior knowledge concerning mismatches in context;such as pose. This paper goes some way to alleviating these limitations by making two novel contributions: (i) Demonstrating that free-parts distributions of a client's face for different poses overlap to such a degree that a considerable amount of discrimination is preserved in the intersection. (ii) Through the off-line estimation of subject-independent pose dependent priors, an alternative to the canonical log-likelihood measure can be employed that takes advantage of this intersection and is less sensitive to mismatch in the presence of pose variation.

关键词： Face recognition

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Color reduction by using a new self-growing and self-organized neural network

Color reduction by using a new self-growing and self-organiz...

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2nd International Conference on Video, Vision and Graphics, VVG 2005

作者： Atsalakis, A. Papamarkos, N. Image Processing and Multimedia Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace 67100 Xanthi Greece

ISBN: (纸本)9783905673579

A new method for the reduction of the number of colors in a digital image is proposed. The new method is based on the developed of a new neural network classifier that combines the advantages of the Growing Neural Gas (GNG) and the Kohonen Self-Organized Feature Map (SOFM) neural networks. We call the new neural network: Self-Growing and Self-Organized Neural Gas (SGONG). Its main advantage is that it defines the number of the created neurons and their topology in an automatic way. As a consecutive, isolated color classes, which may correspond to significant image details, can be obtained. The SGONG is fed by the color components and additional spatial features. To speed up the entire algorithm and to reduce memory requirements, a fractal scanning sub-sampling technique is used. The method is applicable to any type of color images and it can accommodate any type of color space. © The Eurographics Association 2005.

关键词： Color

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Using a free-parts representation for visual speech recognition

Using a free-parts representation for visual speech recognit...

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Digital Imaging Computing: Techniques and Applications, DICTA 2005

作者： Lucey, Patrick Lucey, Simon Sridharan, Sridha Speech Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane 4001 Australia Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)0769524672

Motivated by the success of free-parts based representations in face recognition, we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent visual speech recognition. A major problem with canonical area-based approaches in automatic visual speech recognition is the dependence these approaches have on locating and tracking the speaker's region of interest (ROI) correctly. By employing a free-parts representation, we assume that the position/structure of patches within the mouth image can be relaxed so they can "freely" move to varying extents, hence reducing the influence of the front-end effect. In this paper, we show that by using a free-parts representation we gain some robustness against the problem of ROI localisation and tracking compared to current area-based feature extraction techniques such as the discrete cosine transform (DCT). Also in this paper, we expose the importance of representation for the task of visual speech recognition highlighted by the poor results current representations yield. © 2005 IEEE.

关键词： Speech recognition

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IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION

引用

2005 International Conference on Auditory-Visual Speech processing, AVSP 2005

作者： Lucey, Simon Lucey, Patrick Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Speech Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane4001 Australia

Motivated by the success of free-parts based representations in face recognition [1] we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent automatic speech reading. Hitherto, a major problem with canonical area-based approaches in automatic speech reading is the intrinsic lack of training observations due to the visual speech modality’s low sample rate and large variability in appearance. We believe a free-parts representation can overcome many of these limitations due to its natural ability to generalize by producing many observations from a single mouth image, whilst still preserving the ability to discriminate between various visual-speech units. This approach additionally requires a modification to traditional techniques employed for the estimation of hidden Markov Models (HMMs), whose resultant models we currently refer to as free-parts HMMs (FP-HMMs). Results will be presented on the CUAVE audiovisual speech database. © AVSP 2005. All rights reserved.

关键词： Hidden Markov models

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Face recognition through mismatch driven representations of the face

Face recognition through mismatch driven representations of ...

引用

Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance

作者： S. Lucey Tsuhan Chen Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

Performance of face verification systems can be adversely affected by a number of different mismatches (e.g. illumination, expression, alignment, etc.) between gallery and probe images. In this paper, we demonstrate that representations of the face used during the verification process should be driven by their sensitivity to these mismatches. Two representation categories of the face are proposed, parts and reflectance, each motivated by their own properties of invariance and sensitivity to different types of mismatches (i.e. spatial and spectral). We additionally demonstrate that the employment of the sum rule gives approximately equivalent performance to more exotic combination strategies based on support vector machine (SVM) classifiers, without the need for training on a tuning set. Improved performance is demonstrated, with a reduction in false reject rate of over 30% when compared to the single representation algorithm. Experiments were conducted on a subset of the challenging face recognition grand challenge (FRGC) v1.0 dataset.

关键词： Face recognition Lighting Probes Reflectivity Employment Support vector machines Support vector machine classification multimedia systems Laboratories Surveillance

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Implementing an efficient encryption block for MPEG video streams

Implementing an efficient encryption block for MPEG video st...

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International Symposium on Electronics in Marine (ELMAR)

作者： M.N. Bojnordi M.R. Hashemi S.O. Fatemi University of Tehran Tehran Tehran IR Multimedia Processing Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical and Computer Engineering Multimedia Processing Laboratory Tehran Iran

Considering the typically large data size and real time constraints of most multimedia contents, specially video, current encryption algorithms developed to secure text data are not applicable. Several video encryption methods have been proposed in the literature, but most methods are either too complicated for a real time hardware implementation, or are not secure enough. In this paper a new video cipher/decipher scheme for MPEG video streams has been proposed. The proposed architecture has been implemented in VHDL and tested with MPEG-4 streams. Simulation results indicate that the hardware implementation complexity of the proposed stream cipher is just %2 and %13 of the AES and TDES methods respectively. The computational complexity required to break the cipher is in the order of 2 63

关键词： Cryptography Streaming media Hardware Video compression Testing MPEG 4 Standard Computational complexity Information security Laboratories computer architecture

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Characterization of a cascade LMS predictor

Characterization of a cascade LMS predictor

引用

2005 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP '05

作者： Huang, D.Y. Su, X. Nallanathan, A. Multimedia Signal Processing Laboratory Media Division Institute for Infocomm Research 21 Heng Mui Keng Terrace Singapore 119613 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 119260 Singapore

ISBN: (纸本)0780388747

In this paper, an FIR cascade structure for adaptive linear prediction is studied in which each stage FIR filter is independently adapted using LMS algorithm. The theoretical analysis shows that the cascade performs a linear prediction in a way of successive refinement and each stage tries to obliterate the dominant mode of its input. Experimental results show that the performance of the cascade LMS predictor are in good agreement with our theoretical analysis. ©2005 IEEE.

关键词： Signal filtering and prediction

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Optical flow-based tracking of deformable objects using a non-prior training active feature model 5th

Optical flow-based tracking of deformable objects using a no...

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5th Pacific Rim Conference on multimedia, PCM 2004

作者： Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering The University of Tennessee KnoxvilleTN37996-2100 United States

ISBN: (纸本)9783540239857

This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Optical flows

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Complexity Control in Semantic Identification

Complexity Control in Semantic Identification

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Falelakis C. Diou A. Valsamidis A. Delopoulos Multimedia Understanding Group Information Processing Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

This paper proposes a methodology for modeling the process of semantic identification and controlling its complexity and accuracy of the results. Each semantic entity is defined in terms of lower level semantic entities and low level features that can be automatically extracted, while different membership degrees are assigned to each one of the entities participating in a definition, depending on their importance for the identification. By selecting only a subset of the features that are used to define a semantic entity both complexity and accuracy of the results are reduced. It is possible, however, to design the identification using the metrics introduced, so that satisfactory results are obtained, while complexity remains below some required limit

关键词： Encyclopedias Automatic control Brightness Information processing Laboratories Content management Standardization MPEG 7 Standard Data mining Computational efficiency

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Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem

Dynamic Semantic Identification with Complexity Constraints ...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

The process of automatic identification of high level semantic entities (e.g., objects, concepts or events) in multimedia documents requires processing by means of algorithms that are used for feature extraction, i.e. low level information needed for the analysis of these documents at a semantic level. This work copes with the high and often prohibitive computational complexity of this procedure. Emphasis is given to a dynamic scheme that allows for efficient distribution of the available computational resources in application. Scenarios that deal with the identification of multiple high level entities with strict simultaneous restrictions, such as real time applications

关键词： Data mining Feature extraction Algorithm design and analysis Computational efficiency Encyclopedias Information processing Laboratories Information analysis Text analysis Computational complexity

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