Name
Title | ||
|---|---|---|
Smoothed Reference Prediction for Improving Single-Loop Decoding Performance of H.264/AVC Scalable Extension |
Abstract | ||
|---|---|---|
It is well-known that multi-layer extension of H.264/AVC shows good spatial scalability performance mainly due to its efficient inter-layer prediction techniques. Although single-loop decoding is a kind of technique to reduce the decoder-side computational complexity by performing only one motion compensation to decode multi-layer data, its limited use of inter-layer prediction sometimes degrades the performance especially for fast-motion sequences. In this paper, smoothed reference prediction technique is proposed to improve the single-loop decoding performance by replacing base-layer information with current-layer information and simple block-based smoothing function. Experimental results show that the proposed method can improve the coding efficiency with all benefits of single-loop decoding mode. In addition, the proposed method was adopted to scalable extension of H.264/AVC standard Working Draft. |
Year | Venue | Keywords |
|---|---|---|
2007 | SIGMAP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS | video coding,video signal processing,smoothing methods,digital filters and prediction methods |
Field | DocType | Citations |
Computer vision,Computer science,Parallel computing,Artificial intelligence,Decoding methods,Computer engineering,Scalability | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soyoung Kim | 1 | 168 | 22.15 |
| Woo-jin Han | 2 | 2681 | 150.75 |