ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P2.4
Session:Error Resilience
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Communications: Error resilience / concealment
Title: MULTIPLE DESCRIPTION SHIFTED LATTICE VECTOR QUANTIZATION FOR PROGRESSIVE WAVELET IMAGE CODING
Authors: Huihui Bai; Beijing Jiaotong University 
 Yao Zhao; Beijing Jiaotong University 
 Ce Zhu; Nanyang Technological University 
Abstract: Multiple description (MD) coding is a promising alternative for robust transmission of information over non-prioritized and unpredictable networks. Furthermore, practical variable-bandwidth channels also require fine grain scalability of the descriptions (bit streams). In this paper, according to the geometrical structure and the special relationship of lattice vector quantizers, a MD quantizer called shifted lattice vector quantization (SLVQ) is employed in MD image coding to realize progressive transmission over unreliable channels. In view of the characteristics of wavelet coefficients in different frequency subbands, besides an appropriate construction of wavelet coefficient vectors, the algorithm of modified zerotree coding is also applied to improve compression performance. Experimental results validate the effectiveness of the proposed scheme with better performance than the other schemes based on MD scalar quantization for progressive transmission.