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Circuits and Systems for Video Technology, IEEE Transactions on

Issue 10 • Date Oct 2001

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Displaying Results 1 - 8 of 8
  • Estimation and mode decision for spatially correlated motion sequences

    Publication Year: 2001 , Page(s): 1098 - 1107
    Cited by:  Papers (14)  |  Patents (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (224 KB) |  | HTML iconHTML  

    There are several parts of the video-encoding process that can be optimized for high quality, high compression ratio, and fast encoding speed. We focus on some of these encoder optimization issues. We first study motion estimation, a computationally intensive part of encoding, and propose efficient algorithms based on exploiting spatially correlated motion information. We extend our motion estimat... View full abstract»

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  • Soft source decoding with applications

    Publication Year: 2001 , Page(s): 1108 - 1120
    Cited by:  Papers (36)  |  Patents (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (384 KB) |  | HTML iconHTML  

    Motivated by previous results in joint source-channel coding and decoding, we consider the problem of decoding of variable-length codes using soft channel values. We present results of decoding of selected codes using the maximum a posteriori (MAP) decoder and the sequential decoder, and show the performance gains over decoding using hard decisions alone. The objective behind this work is to provi... View full abstract»

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  • An efficient use of MPEG-4 FAP interpolation for facial animation at 70 bits/frame

    Publication Year: 2001 , Page(s): 1085 - 1097
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (376 KB) |  | HTML iconHTML  

    An efficient algorithm is proposed to exploit the facial animation parameter (FAP) interpolation modality specified by the MPEG-4 standard in order to allow very low bit-rate transmission of the animation parameters. The proposed algorithm is based on a comprehensive analysis of the cross-correlation properties that characterize FAPs, which is here reported and discussed extensively. Based on this... View full abstract»

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  • Reduced-complexity iterative post-filtering of video

    Publication Year: 2001 , Page(s): 1121 - 1127
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (200 KB) |  | HTML iconHTML  

    There are numerous methods of post-processing that make use of iterative techniques. Many of these schemes have been demonstrated to be very effective in removing artifacts from compressed video, producing better and better image estimates at each iteration. However, this artifact removal comes at the cost of a large computational burden. This paper introduces two methods for iterative post-proces... View full abstract»

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  • Low-complexity and low-memory entropy coder for image compression

    Publication Year: 2001 , Page(s): 1140 - 1145
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (120 KB) |  | HTML iconHTML  

    A low-complexity and low-memory entropy coder (LLEC) is proposed for image compression. The two key elements in the LLEC are zerotree coding and Golomb-Rice (1966, 1991) codes. Zerotree coding exploits the zerotree structure of transformed coefficients for higher compression efficiency. G-R codes are used to code the remaining coefficients in a variable-length codes/variable-length integer manner ... View full abstract»

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  • Automatic model-based semantic object extraction algorithm

    Publication Year: 2001 , Page(s): 1073 - 1084
    Cited by:  Papers (9)  |  Patents (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (360 KB) |  | HTML iconHTML  

    Automatic image segmentation and object extraction play an important role in supporting content-based image coding, indexing, and retrieval. However, the low-level visual homogeneity critical (like color, texture, intensity, and so on) for segmentation do not lead to semantic objects directly because a semantic object can contain totally different gray levels, color, or texture. We propose an auto... View full abstract»

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  • An efficient low bit-rate video-coding algorithm focusing on moving regions

    Publication Year: 2001 , Page(s): 1128 - 1134
    Cited by:  Papers (25)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (232 KB) |  | HTML iconHTML  

    Block-based motion estimation and compensation are the most popular techniques for video coding. However, as the shape and the structure of an object in a picture are arbitrary, the performance of such conventional block-based methods may not be satisfactory. In this paper, a very low bit-rate video coding algorithm that focuses on moving regions is proposed. The aim is to improve the coding perfo... View full abstract»

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  • Arbitrarily shaped video-object coding by wavelet

    Publication Year: 2001 , Page(s): 1135 - 1139
    Cited by:  Papers (15)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (96 KB) |  | HTML iconHTML  

    Video-object coding is one of the most important functionalities proposed by MPEG-4. We propose a new wavelet method to encode the texture of an arbitrarily shaped object, both for the still and for the video-object. The method uses the shape adaptive wavelet transform (SA-DWT) in MPEG-4 still object coding, but with a computationally more efficient lifting implementation. The transformed object c... 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