Title :
Scalable, subband-based video coding with a locally-adaptive perceptual distortion measure
Author :
Hontsch, Ingo S. ; Karam, Lina J.
Author_Institution :
Telecommun. Res. Center, Arizona State Univ., Tempe, AZ, USA
Abstract :
Existing video coders do not fully exploit the local variation of perceptual masking thresholds. This paper presents a locally-adaptive subband-based video coding scheme which is based on a perceptual distortion measure. The local adaption does not require any additional side information since the perceptual thresholds are computed based on the already transmitted data. The proposed coding scheme is scalable in frame rate and spatial resolution. It supports a fixed rate and perceptual target distortion modes. It can be easily generalized to DCT-based methods.
Keywords :
adaptive codes; adaptive signal processing; data compression; discrete cosine transforms; discrete wavelet transforms; motion compensation; motion estimation; quantisation (signal); transform coding; video coding; DCT-based methods; adaptive perceptual coding; discrete wavelet transform; frame rate; local variation; locally-adaptive perceptual distortion measure; locally-adaptive quantization; motion compensation; motion estimation; perceptual distortion measure; perceptual masking thresholds; perceptual target distortion modes; perceptual-based compression algorithms; scalable video coding; spatial resolution; subband-based video coding; transmitted data; video coders; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Distortion measurement; Humans; Image coding; Masking threshold; Spatial resolution; Video coding; Visual system;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831946