Joint shape and texture rate control for MPEG-4 encoders

Vetro, Anthony; Sun, Huifang; Wang, Y.

doi:10.1109/iscas.1998.694466

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…We derive a solution to problem (7) using the Lagrange multiplier method to relax the constraint, so that the relaxed problem can be solved using a shortest path algorithm. The same steps can be followed in solving the dual problem (2). We first define the Lagrangian cost function…”

Section: Optimal Solutionmentioning

confidence: 99%

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A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

Schuster

Katsaggelos

1997

IEEE Trans. on Image Process.

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In object-based video, the encoding of the video data is decoupled into the encoding of shape, motion and texture information, which enables certain functionalities like content-based interactivity and scalability. However, the problem of how to jointly encode these separate signals to reach the best coding efficiency has never been solved thoroughly. In this paper, we present an operational ratedistortion optimal bit allocation scheme that provides a solution to this problem. Our approach is based on the Lagrangian relaxation and dynamic programming. Experimental results indicate that the proposed optimal encoding approach has considerable gains over an ad-hoc method without optimization. Furthermore the proposed algorithm is much more efficient than exhaustive search.

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Section: Optimal Solutionmentioning

confidence: 99%

“…In [1], an optimal vertex-based shape encoder is proposed, taking into consideration the texture information of the video frames. In [2], a joint shape and texture rate control algorithm is proposed for MPEG-4 encoders. However, none of these approaches provides an optimal solution to the bit allocation problem.…”

Section: Introductionmentioning

confidence: 99%

A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

Schuster

Katsaggelos

1997

IEEE Trans. on Image Process.

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“…By utilizing a variable-width tolerance band, which is proportional to the degree of trust in the accuracy of the shape information at that location, the encoder spends more bits on parts of the object boundary where high accuracy is required, while fewer bits on other less important parts. In [4], a joint shape and texture rate control algorithm is proposed for MPEG-4 encoders, and in [5], an improved statistical ratedistortion model is presented for the encoding of MPEG-4 object shape. However, none of these approaches optimally solved the bit allocation problem.…”

Section: Introductionmentioning

confidence: 99%

Operational rate-distortion optimal bit allocation between shape and texture for MPEG-4 video coding

Wang

Schuster

Katsaggelos

2003

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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MPEG-4 is the first multimedia standard that supports the decoupling of a video object into object shape and object texture information, which consequently brings up the optimal encoding problem for object-based video. In this paper, we present an operational rate-distortion optimal bit allocation scheme between shape and texture for MPEG-4 encoding. Our approach is based on the Lagrange multiplier method, while the adoption of dynamic programming techniques enables its higher efficiency over the exhaustive search algorithm. Our work will not only benefit the further study of joint shape and texture encoding, but also make possible the deeper study of optimal joint source-channel coding of object-based video.

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Rate Control and Error Resilience for Object-Based Video Coding

Nunes¹,

Soares²

2010

Intelligent Multimedia Communication: Techniques and Applications

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Joint shape and texture rate control for MPEG-4 encoders

Cited by 9 publications

References 6 publications

A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

Operational rate-distortion optimal bit allocation between shape and texture for MPEG-4 video coding

Rate Control and Error Resilience for Object-Based Video Coding

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