NDLI: On entropy-constrained residual vector quantization design

Content Provider	IEEE Xplore Digital Library
Author	Gong, Y. Fan, M.K.H. Huang, C.-M.
Copyright Year	1999
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Gong, Y.)
Abstract	Summary form only given. Entropy-constrained residual vector quantization (EC-RVQ) has been shown to be a competitive compression technique. Its design procedure is an iterative process which typically consists of three steps: encoder update, decoder update, and entropy coder update. We propose a new algorithm for the EC-RVQ design. The main features of our algorithm are: (i) in the encoder update step, we propose a variation of the exhaustive search encoder that significantly speeds up encoding at no expense in terms of the rate-distortion performance; (ii) in the decoder update step, we propose a new method that simultaneously updates the codebooks of all stages; the method is to form and solve a certain least square problem and we show that both tasks can be done very efficiently; (iii) the Lagrangian of rate-distortion decreases at every step and thus this guarantees the convergence of the algorithm. We have performed some preliminary numerical experiments to test the proposed algorithm. Both random sources and still images are considered. For random sources, the size of training sequence is 2500 and the vector size is 4. For still images, the training set consists of monochrome images from the USC database and the vector size is 4/spl times/4.
File Size	98800
File Format	PDF
ISBN	076950096X
ISSN	10680314
DOI	10.1109/DCC.1999.785683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vector quantization Iterative algorithms Rate-distortion Iterative decoding Entropy Algorithm design and analysis Encoding Least squares methods Lagrangian functions Convergence
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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