@inproceedings{c94440a929174ff2902a7fd11b12fabf,
title = "Dynamic computational complexity and bit allocation for optimizing H.264/AVC video compression",
abstract = "In this work we present a novel approach for optimizing H.264/AVC video compression by dynamically allocating computational complexity (such as a number of CPU clocks) and bits for encoding each coding element (basic unit) within a video sequence, according to its predicted MAD (Mean Absolute Difference). Our approach is based on a computational complexity-rate-distortion (C-R-D) analysis, which adds a complexity dimension to the conventional rate-distortion (R-D) analysis. Both theoretically and experimentally, we prove that by implementing the proposed approach better results are achieved. In addition, we present a method and system for implementing the proposed approach, and for controlling computational complexity and bit allocation in real-time and off-line video coding. For allocating a corresponding group of coding modes and the quantization step-size, we develop computational complexity - complexity step - rate (C-I-R) and rate - quantization step-size - computational complexity (R-Q-C) models.",
keywords = "Bit allocation, Coding modes selection, Computational complexity allocation, H.264/AVC, Video compression",
author = "Evgeny Kaminsky and Dan Grois and Ofer Hadar",
year = "2006",
month = jan,
day = "1",
doi = "10.1109/ITRE.2006.381556",
language = "English",
isbn = "1424408598",
series = "ITRE 2006 - 4th International Conference on Information Technology: Research and Education, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "167--171",
booktitle = "ITRE 2006 - 4th International Conference on Information Technology",
address = "United States",
note = "ITRE 2006 - 4th International Conference on Information Technology: Research and Education ; Conference date: 17-10-2006 Through 18-10-2006",
}