Title :
Very low bit-rate target-based image coding
Author :
Giguet, David ; Karam, Lina J. ; Abousleman, Glen P.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
This paper presents a target-based image coding system for very low bit rate, intelligent image coding and transmission. The proposed image coder is a wavelet object-based coder in which the identified more-relevant regions are coded with higher fidelity than the other less-relevant image components. For this purpose, a scalable, multiresolution, shape representation and coding method is developed. The proposed image coder uses a trellis-coded quantizer (TCQ) and an object-based rate allocation scheme for coding the image information. Coding examples are presented to illustrate the performance of the proposed target-based image coder.
Keywords :
feature extraction; image coding; image representation; image resolution; object recognition; quantisation (signal); transform coding; trellis codes; variable rate codes; visual communication; wavelet transforms; TCQ; image transmission; intelligent image coding; low bit rate coding; multiresolution method; object-based rate allocation; performance; relevant regions; scalable method; shape representation; target-based image coding; trellis-coded quantizer; wavelet object-based coder; Bit rate; Data mining; Decoding; Discrete wavelet transforms; Image coding; Image quality; Shape; Target recognition; Telecommunications; Wavelet coefficients;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.987030