Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding

In this paper, we propose a cascaded sparse/DCT (S/DCT) two-layer representation of prediction residuals, and implement this idea on top of the state-of-the-art high efficiency video coding (HEVC) standard. First, a dictionary is adaptively trained to contain featured patterns of residual signals so...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 22; no. 7; pp. 2711 - 2722
Main Authors:	Kang, Je-Won, Gabbouj, Moncef, Kuo, C.-C. Jay
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.07.2013 Institute of Electrical and Electronics Engineers
Subjects:	Applied sciences Approximation algorithms Bit rate Codecs Coding, codes Detection, estimation, filtering, equalization, prediction Dictionaries discrete cosine transform (DCT) Discrete cosine transforms Exact sciences and technology High efficiency video coding high efficiency video coding (HEVC) Image coding Image processing Information, signal and communications theory multilayered coding overcomplete dictionary based video coding residual coding rho domain rate model Signal and communications theory Signal processing Signal, noise Sparse approximation sparse representation Telecommunications and information theory Transforms Video coding Performance evaluation Overcomplete dictionary State of the art overcomplete dictionary based video coding Information rate Adaptive method discrete cosine transform (DCT) Implementation Research and development Video signal processing Learning Codec Sparse representation Discrete cosine transforms multilayered coding residual coding Multiple layer high efficiency video coding (HEVC) Algorithm Information transmission Residual impurity Signal processing ρ domain rate model Cascade connection
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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