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Rate control for video coding and co...

Sun, Yu.

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Rate control for video coding and communication.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rate control for video coding and communication./
Author:	Sun, Yu.
Description:	169 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4681.
Contained By:	Dissertation Abstracts International65-09B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145834
ISBN:	0496042777

Rate control for video coding and communication.
Sun, Yu.

Rate control for video coding and communication. - 169 p.

Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4681.

Thesis (Ph.D.)--The University of Texas at Arlington, 2004.

Rate Control (RC) is one of the crucial techniques for video compression and communication because it regulates the output bit rates of a video encoder in order to obtain optimum visual quality within the available budget of transmission bit rate. However, due to the inaccuracy of the existing Rate-Distortion models and their additional drawbacks, the control abilities of traditional RC algorithms are not effective enough. In this dissertation, the key RC technique is to exploit prediction mechanism to initialize bit allocation, and then apply various feedback control tactics to compensate prediction errors. Further, we adopt a novel Proportional-Integral-Derivative (PID) buffer controller to effectively reduce the fluctuation of buffer fullness and avoid the buffer overflow and underflow. Specifically, this dissertation makes four contributions. First, we propose a RC algorithm for synchronous object-based video coding. The algorithm estimates the bit budget for a frame and objects based on their coding complexities, and dynamically adjusts parameters using feedback information to further improve the performance.

ISBN: 0496042777Subjects--Topical Terms:

626642
Computer Science.

Rate control for video coding and communication.
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500 $a Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4681.
500 $a Supervisor: Ishfaq Ahmad.
502 $a Thesis (Ph.D.)--The University of Texas at Arlington, 2004.
520 $a Rate Control (RC) is one of the crucial techniques for video compression and communication because it regulates the output bit rates of a video encoder in order to obtain optimum visual quality within the available budget of transmission bit rate. However, due to the inaccuracy of the existing Rate-Distortion models and their additional drawbacks, the control abilities of traditional RC algorithms are not effective enough. In this dissertation, the key RC technique is to exploit prediction mechanism to initialize bit allocation, and then apply various feedback control tactics to compensate prediction errors. Further, we adopt a novel Proportional-Integral-Derivative (PID) buffer controller to effectively reduce the fluctuation of buffer fullness and avoid the buffer overflow and underflow. Specifically, this dissertation makes four contributions. First, we propose a RC algorithm for synchronous object-based video coding. The algorithm estimates the bit budget for a frame and objects based on their coding complexities, and dynamically adjusts parameters using feedback information to further improve the performance.
520 $a Second, we analyze the framework of asynchronous object-based video coding to develop an asynchronous RC scheme. The scheme divides objects into relatively independent "object streams", such that the complicated asynchronous problem is decomposed into several simplified sub-problems. The major advantage of this approach is that at the top level the algorithm dynamically distributes the bit budget among "object streams" by jointly adjusting the visual qualities. At the lower level one can adopt efficient single-object RC algorithm to solve the sub-problem.
520 $a Third, for video transcoding, we propose a new frequency domain complexity estimation scheme and an algorithm for adaptive bit allocation during transcoding. In conjunction with frame skipping mechanism, this algorithm adaptively determines spatial coding parameters to realize accurate target bit rate transcoding with better visual quality.
520 $a Finally, by taking into account the characteristics of wireless channels, we propose a joint source-channel RC strategy for real-time wireless video transmission. Accordingly, we adopt a Region-Based segmentation method to further improve the quality of the Regions of Interested.
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