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IEEE International Conference on image processing

作者： Marc Bosch Fengqing Zhu Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In this paper we integrate several spatial texture tools into a texture-based video coding scheme. We implemented texture techniques and segmentation strategies in order to detect texture regions in video sequences. These textures are analyzed using temporal motion techniques and are labeled as skipped areas that are not encoded. After the decoding process, frame reconstruction is performed by inserting the skipped texture areas into the decoded frames. We are able to show an improvement over previous texture-based implementations in terms of compression efficiency.

关键词： video compression Decoding image reconstruction image coding image segmentation image texture analysis video coding Feature extraction Synthesizers video sequences

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Recent advances in video compression: What’s next?

Recent advances in video compression: What’s next?

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： Limin Liu Fengqing Zhu Marc Bosch Edward J. Delp Video and Image Processing Lab School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In the last two decades, there have been significant advances in video coding. Since the early 1990s, a series of video coding standards have been developed to satisfy the growing requirements of video applications. Among these, H.264/MPEG-4 AVC is the most recent standard achieving high compression efficiency. The video compression research community has continued working on new advances that go beyond traditional video coding architectures. In this paper, we overview of some recent advances in video coding and their potential applications. We discuss work in distributed coding, texture-based methods, scalable coding, and multi-view video coding.

关键词： video compression video coding MPEG 4 Standard Automatic voltage control image coding Decoding Motion estimation Standards development High definition video video surveillance

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Multimedia Reasoning with f-SHIN

Multimedia Reasoning with f-SHIN

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Nikos Simou Thanos Athanasiadis Vassilis Tzouvaras Stefanos Kollias Image Video and Multimedia Systems Laboratory School of Electrical and Computer Engineering National and Technical University of Athens Zografou Greece

Effective management and exploitation of multimedia documents requires extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly rich but imprecise information about a multimedia document. In this paper, a multimedia reasoning architecture is presented using the fuzzy extension of expressive SHIN, f-SHIN. First a segmentation algorithm generates a set of over-segmented regions and a classification process is employed to assign those regions with semantic labels. A semantic-based refinement of the segmentation is follows and this information initializes the ABox of a fuzzy-knowledge that is used for multimedia reasoning. The proposed approach was tested on outdoor domain and shows promising results.

关键词： image segmentation Data mining Fuzzy reasoning Multimedia systems Engines Support vector machines Support vector machine classification Algorithm design and analysis Humans Standards development

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Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval

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IEEE Transactions on Circuits and Systems for video Technology 2007年第3期17卷 257-258页

作者： Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States

No abstract available

关键词： Special issues and sections Knowledge engineering Information retrieval Audio-visual systems

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NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL image SEGMENTATION

NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL IMAG...

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IEEE International Symposium on Biomedical Imaging

作者： Alireza Akhoundi-Asl Hamid Soltanian-Zadeh School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

ISBN: (纸本)9781424406715;1424406714

We propose a 3D nonparametric, entropy-based, coupled, multishape approach for the segmentation of subcortical brain structures in magnetic resonance images (MRI). Our method uses PCA to capture structures variability. Because of complex relationships of pose and shape of the coupled structures, we only use their shape and size relation. To this end, we apply separate registrations of the structures. For each structure, we consider a similarity transform using seven parameters. In addition, to generate most accurate results, we estimate probability density functions (pdf) iteratively. The proposed method minimizes an entropy-based energy function using quasi-Newton algorithm. To improve the results, we use analytical derivatives. Sample results are given for the segmentation of putamen, thalamus and caudate illustrating the impact of coupling on the accuracy of the results.

关键词： Biomedical imaging image segmentation Shape Couplings Brain Magnetic resonance Magnetic resonance imaging Principal component analysis Probability density function Iterative algorithms

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Using context and a genetic algorithm for knowledge-assisted image analysis

Using context and a genetic algorithm for knowledge-assisted...

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1st International Conference on Semantic and Digital Media Technologies, SAMT 2006

作者： Dasiopoulou, Stamatia Papadopoulos, George Th. Mylonas, Phivos Avrtihis, Yannis Kompatsiaris, Ioannis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University Thessaloniki Greece Informatics and Telematics Institute Centre for Research and Technology Greece Image Video and Multimedia Laboratory School of Electrical and Computer Engineering National Technical University Athens Greece

In this poster, we present an approach to contex-tualized semantic image annotation as an optimization problem. Ontologies are used to capture general and contextual knowledge of the domain considered, and a genetic algorithm is applied to realize the final annotation. Experiments with images from the beach vacation domain demonstrate the performance of the proposed approach and illustrate the added value of utilizing contextual information.

关键词： Ontology

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Backward Channel Aware Wyner-Ziv video Coding

Backward Channel Aware Wyner-Ziv Video Coding

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IEEE International Conference on image processing

作者： Limin Liu Zhen Li Edward J. Delp School of Electrical and Computer Engineering Purdue University Video and Image Processing Laboratory West Lafayette IN USA

Wyner-Ziv video coding is a low complexity video encoding method that exploits source statistics at the decoder and shifts much of the computational complexity from the encoder to the decoder. Many Wyner-Ziv video coding schemes rely on the use of INTRA frames so that the decoder can derive sufficiently accurate side information. In this paper we extend our previous work on Wyner-Ziv coding that uses backward channel aware motion estimation. The basic idea is to perform motion estimation at the decoder and send the motion information back to the encoder through a backward channel. Experimental results show that this method can significantly improve the coding efficiency with a minimal use of the backward channel bandwidth. We also propose an error resilient technique by using error detection and adaptive coding to handle the situation when the backward channel is subject to erasure errors or delays.

关键词： video coding Decoding Motion estimation image coding Extrapolation Noise reduction Interpolation image processing Statistics Computational complexity

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Using local region semantics for concept detection in video

Using local region semantics for concept detection in video

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1st International Conference on Semantic and Digital Media Technologies, SAMT 2006

作者： Spyrou, Evaggelos Koumoulos, George Avrithis, Yannis Kollias, Stefanos Image Video and Multimedia Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens 9 Iroon Polytechniou Str. 157 80 Athens Greece

This paper presents a framework for the detection of semantic features in video sequences. Low-level feature extraction is performed on the keyframes of the shots and a "feature vector" including color and texture features is formed. A region "thesaurus" that contains all the high-level features is constructed using a subtractive clustering method. Then, a "model vector" that contains the distances from each region type is formed and a SVM detector is trained for each semantic concept. Experiments were performed using TRECVID 2005 development data.

关键词： Thesauri

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Wyner-Ziv video Coding using LDPC Codes

Wyner-Ziv Video Coding using LDPC Codes

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Proceedings of the Nordic Signal processing Symposium (NORSIG)

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

Wyner-Ziv video coding aims to design encoders based on the Slepian-Wolf and Wyner-Ziv distributed source coding theorems. In this coding scenario, source statistics are exploited at the decoder so that it is feasible to design simplified encoders. The shift of the computational complexity from the encoder to the decoder is suitable for emerging mobile multimedia applications. Many channel coding techniques are used for the construction of distributed video coding systems. In this paper we present a Wyner-Ziv video coding design using low-density parity-check (LDPC) codes. We also present a refined side estimator to further improve the decoded video quality. Experimental results are presented to demonstrate the rate-distortion performance of the method

关键词： video coding Parity check codes Decoding image coding Rate-distortion Source coding Statistical distributions Computational complexity Mobile computing Channel coding

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A Secure Group Key Management Scheme for Wireless Cellular Networks

A Secure Group Key Management Scheme for Wireless Cellular N...

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International Conference on Information Technology: New Generations (ITNG)

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

In wireless networks, secure multicast protocols are difficult to implement efficiently due to the dynamic nature of the multicast group and scarcity of bandwidth at the receiving and transmitting ends. Mobility is one of the most distinct features to be considered in a wireless network. Moving users onto the key tree causes extra key management resources even though they are still in service. To take care of frequent handoff between wireless access networks, it is necessary to reduce the number of rekeying messages and the size of the messages. In this paper, we design a key management tree such that neighbors on the key tree are also physical neighbors on the cellular network. By tracking the user location, we localize the delivery of rekeying messages to the users who need them. This lessens the amount of traffic in wireless and wired intervals of the network. The group key management scheme uses a pre-positioned secret sharing scheme

关键词： Communication system security Land mobile radio cellular systems Wireless networks Multicast protocols Streaming media Cryptography Data security Access control computer networks Bandwidth

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