JOURNAL ARTICLE

Complexity-Rate-Distortion Optimization for Real-Time H.264/AVC Encoding

Abstract

In this paper, we introduce a singularly-parameterized complexity scalable H.264-compliant encoder. Through modeling its complexity-rate-distortion relationships, we derive optimized operating mode of the encoder (rate and complexity) and show through experiment that such optimization can help a video encoder operate within rate and time constraints. The design of the complexity scalable encoding scheme enables the encoder to perform optimization while taking into consideration the availability of computational resource. This extension of traditional rate-distortion optimization is necessary when time or power constraints do not allow a video encoder to achieve rate-distortion optimized coding performance. Our optimization scheme outputs parameters that allow the encoder to be as close to being rate-distortion optimized as possible, within rate and complexity constraints.

Keywords:
Encoder Rate–distortion optimization Computer science Computational complexity theory Encoding (memory) Parameterized complexity Coding (social sciences) Algorithm Scalability Distortion (music) Rate–distortion theory Optimization problem Mathematical optimization Data compression Mathematics Artificial intelligence Multiview Video Coding Video processing

Metrics

10
Cited By
1.74
FWCI (Field Weighted Citation Impact)
9
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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