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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on image processing Ročník 22; číslo 7; s. 2711 - 2722
Hlavní autoři:	Kang, Je-Won, Gabbouj, Moncef, Kuo, C.-C. Jay
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.07.2013 Institute of Electrical and Electronics Engineers
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!