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Circuits and Systems for Video Technology, IEEE Transactions on

Issue 1 • Date Jan 2002

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Displaying Results 1 - 6 of 6
  • Matching-pursuit video coding .II. Operational models for rate and distortion

    Publication Year: 2002 , Page(s): 27 - 39
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (476 KB) |  | HTML iconHTML  

    For pt. I see ibid., vol.12 , no.1, (2000).We introduce two models for predicting the rate and distortion of the matching-pursuit video codec. The first model is based on a pre-coding analysis pass using the full matching-pursuit dictionary. The second model is based on a reduced-complexity analysis pass. We evaluate these models for use within existing rate-distortion optimization techniques. Our... View full abstract»

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  • Wavelet-based optical flow estimation

    Publication Year: 2002 , Page(s): 1 - 12
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (546 KB) |  | HTML iconHTML  

    A new algorithm for accurate optical flow (OF) estimation using discrete wavelet approximation is proposed. The computation of OF depends on minimizing the image and smoothness constraints. The proposed method takes advantages of the nature of wavelet theory, which can efficiently and accurately approximate any function. OF vectors and image functions are represented by means of linear combination... View full abstract»

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  • Some new lattice quantization algorithms for video compression coding

    Publication Year: 2002 , Page(s): 53 - 60
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (112 KB) |  | HTML iconHTML  

    We describe some improvements to a proposed algorithm which encodes the error due to motion compensation in a videoconferencing codec. The algorithm involves lattice quantization using the 8-dimensional E8 lattice. We show that by using a different but equivalent form of E8 based on the extended Hamming code, we can significantly reduce storage requirements and computational complexity at the rece... View full abstract»

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  • On the data reuse and memory bandwidth analysis for full-search block-matching VLSI architecture

    Publication Year: 2002 , Page(s): 61 - 72
    Cited by:  Papers (165)  |  Patents (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (282 KB) |  | HTML iconHTML  

    This work explores the data reuse properties of full-search block-matching (FSBM) for motion estimation (ME) and associated architecture designs, as well as memory bandwidth requirements. Memory bandwidth in high-quality video is a major bottleneck to designing an implementable architecture because of large frame size and search range. First, the memory bandwidth in ME is analyzed and the problem ... View full abstract»

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  • Matching pursuit video coding .I. Dictionary approximation

    Publication Year: 2002 , Page(s): 13 - 26
    Cited by:  Papers (38)  |  Patents (21)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (410 KB) |  | HTML iconHTML  

    We have shown in previous works that overcomplete signal decomposition using matching pursuits is an efficient technique for coding motion-residual images in a hybrid video coder. Others have shown that alternate basis sets may improve the coding efficiency or reduce the encoder complexity. In this work, we introduce for the first time a design methodology which incorporates both coding efficiency... View full abstract»

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  • Factor graph framework for semantic video indexing

    Publication Year: 2002 , Page(s): 40 - 52
    Cited by:  Papers (59)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (342 KB) |  | HTML iconHTML  

    Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semantics, we need to bridge the gap between the low-level representation and high-level semantics. This is a difficult multimedia understanding problem. We formulate this problem as a probabilistic pattern-recognition problem ... View full abstract»

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Aims & Scope

The emphasis is focused on, but not limited to:
1. Video A/D and D/ A
2. Video Compression Techniques and Signal Processing
3. Multi-Dimensional Filters and Transforms
4. High Speed Real-Tune Circuits
5. Multi-Processors Systems—Hardware and Software
6. VLSI Architecture and Implementation for Video Technology 

 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dan Schonfeld
Multimedia Communications Laboratory
ECE Dept. (M/C 154)
University of Illinois at Chicago (UIC)
Chicago, IL 60607-7053
tcsvt-eic@tcad.polito.it

Managing Editor
Jaqueline Zelkowitz
tcsvt@tcad.polito.it