DocumentCode :
1714736
Title :
AVS encoding optimization with perceptual just noticeable distortion model
Author :
Qi Cai ; Li Song
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
Integrating efficient visual perceptual cues into standardized video coding framework can improve performance significantly. In this paper we propose to enhance AVS encoder by using the latest just noticeable distortion (JND) model to adjust DCT coefficients of prediction residues in a content adaptive way. To better modeling JND profile in AVS integer DCT domain, we further derive the JND mapping from the classical DCT domain to AVS Integer DCT domain. The experiment shows that the proposed algorithm can reduce the bitrate by about 13% on average, compared to the AVS standard encoder at similar visual quality.
Keywords :
discrete cosine transforms; optimisation; video coding; AVS encoder; AVS encoding optimization; DCT coefficient; JND mapping; just noticeable distortion model; prediction residues; standardized coding framework; visual perceptual; Adaptation models; Bit rate; Computational modeling; Discrete cosine transforms; Encoding; Quantization (signal); Video coding; AVS; just noticeable distortion; residues suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0433-4
Type :
conf
DOI :
10.1109/ICICS.2013.6782937
Filename :
6782937
Link To Document :
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