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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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A low-level approach to semantic classification of mobile multimedia content

A low-level approach to semantic classification of mobile mu...

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The 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. (Ref. No. 2005/11099)

作者： A. Mariappan M. Igarta C. Taskiran B. Gandhi E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Multimedia Research Lab Motorola Research Laboratories Schaumburg IL USA

Pseudo-semantic labeling is a novel approach to organize mobile multimedia content such as images and videos. We have developed low-complexity algorithms to derive labels, such as "indoor/outdoor", "face/not face", that can be run on the mobile device. "Indoor/outdoor" classification is done based on the presence of sky in the images. Skin like pixels are detected based on the color information and if present they are matched to a pre-defined "facetemplate" to detect the presence of faces in images. We have developed an initial framework for finding the degree of blurriness in an image, which can be used for labels like "blurry/not blurry".

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A robust multi-view freehand three-dimensional ultrasound imaging system using volumetric registration

A robust multi-view freehand three-dimensional ultrasound im...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Honggang Yu M.S. Pattichis M.B. Goens Department of Electrical and Computer Engineering Image and Video Processing and Communications Laboratory USA Childrens Hospital Heart Center University of New Mexico Albuquerque NM USA

In this paper, we describe a freehand, three-dimensional ultrasound imaging system. The system uses an electromagnetic position and orientation measurement device to capture two-dimensional ultrasound images at arbitrary planar orientations in space. For robust performance, we use a novel electromagnetic interference detection algorithm that can be used to estimate the probability density function of position and orientation measurement errors. Another important contribution of the proposed system is its ability to reconstruct from multiple standard views. The multi-view reconstruction procedure results in significant reduction in reconstruction error. The system uses object-based 3D volume registration, allowing for arbitrary rigid object movements in inter-view acquisition. The proposed system has been validated on simulated data and a physical, 3D ultrasound calibration phantom. Quantitative experimental results demonstrate the effectiveness of the 3D registration system, and a significant reduction in the mean-squared error via the use of the proposed multi-view reconstruction method.

关键词： Ultrasonic imaging Robustness image reconstruction Position measurement Electromagnetic devices Extraterrestrial measurements Electromagnetic interference Detection algorithms Probability density function Calibration

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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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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： P. Lucey S. Lucey S. Sridharan Queensland University of Technology Speech Audio Image and Video Research Laboratory Brisbane Australia Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

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.

关键词： Speech recognition Mouth Hidden Markov models Laboratories Face recognition Feature extraction Discrete cosine transforms Robustness Automatic speech recognition Pixel

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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Adaptive lossless video compression using an integer wavelet transform

Adaptive lossless video compression using an integer wavelet...

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2004 International Conference on image processing, ICIP 2004

作者： Park, Sahng-Gyu Delp, Edward J. Yu, Haoping Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN United States Corporate Research Group Thomson Indianapolis IN United States

ISBN: (纸本)0780385543

In this paper, we describe an adaptive lossless compression algorithm for color video sequences utilizing backward adaptive temporal prediction and an integer wavelet transform. We exploit two redundancies in color video sequences, specifically spatial and temporal redundancies. We show that an adaptive scheme exploiting the two redundancies has better compression performance than lossless compression of individual image frames. The result of the proposed scheme is compared to current video compression algorithms. ©2004 IEEE.

关键词： image compression

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Channel-aware rate-distortion optimized leaky motion prediction

Channel-aware rate-distortion optimized leaky motion predict...

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IEEE International Conference on image processing

作者： Zhen Li E.J. Delp Video and Image Processing Laboratory(VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Leaky motion prediction techniques have been developed as a way to trade-off between video coding efficiency and drift error resilience. In this paper, we present a statistical analysis of leaky motion prediction in the presence of channel errors. We assume the encoder has some basic knowledge of the channel such as the channel error pattern and error rate. We derive a closed-form expression of the rate distortion function and find the analytic solution for the leaky motion prediction parameter. Two examples are presented 10 demonstrate the results.

关键词： Rate-distortion video coding Motion analysis Decoding Bandwidth image coding image reconstruction Resilience image processing Laboratories

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Adaptive lossless video compression using an integer wavelet transform

Adaptive lossless video compression using an integer wavelet...

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IEEE International Conference on image processing

作者： S.-G. Park E.J. Delp H. Yu Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Corporate Research Group Thomson Inc. Indianapolis IN USA

关键词： video compression Wavelet transforms image coding Redundancy video sequences image edge detection Decorrelation Frequency image processing Laboratories

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Fuzzy relational knowledge representation and context in the service of semantic information retrieval

Fuzzy relational knowledge representation and context in the...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Wallace Y. Avrithis Image Video and Multimedia Systems Laboratory Department of Computer Science School of Electrical and Computer Engineering National and Technical University of Athens Greece

We follow a fuzzy relational approach to knowledge representation. With the use of semantic fuzzy relations we define and extract the semantic context out of a set of semantic entities. Based on this, we then proceed to the case of information retrieval and explain how the three participating contexts, namely the context of the query, the context of the document and the context of the user, can be estimated and utilized towards the achievement of more intuitive information services.

关键词： Knowledge representation Context-aware services Information retrieval Ontologies Data mining Multimedia systems Fuzzy sets Document handling image retrieval Laboratories

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Emotion synthesis in the MPEG-4 framework

Emotion synthesis in the MPEG-4 framework

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IEEE Workshop on Multimedia Signal processing

作者： A. Raouzaiou K. Karpouzis S. Kollias Image Video and Multimedia Systems Laboratory School of Electrical and Computer Engineering National and Technical University of Athens Athens Greece

ISBN: (纸本)0780385780

Man-machine interaction (MMI) systems that utilize multimodal information about users' current emotional state are presently at the forefront of interest of the computer vision and artificial intelligence communities. A lifelike human face can enhance interactive applications by providing straightforward feedback to and from the users and stimulating emotional responses from them. In this paper, we present an abstract means of description of facial expressions, by utilizing concepts included in the MPEG-4 standard to synthesize expressions using a reduced representation, suitable for networked and lightweight applications.

关键词： MPEG 4 Standard Facial animation computer vision Application software Network synthesis Multimedia systems Laboratories Artificial intelligence Humans Face detection

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