NDLI: Perceptually optimized MPEG compression of synthetic video sequences

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2015 IEEE International Conference on Image Processing (ICIP)

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Microarray image addressing based on the Radon transform

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Optimal adaptation strategies for Golomb codes on correlated sources

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Classification of non-homogenous images using classification probability vector

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2004 International Conference on Image Processing, 2004. ICIP '04.

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)

Proceedings. International Conference on Image Processing

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348)

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)

Proceedings of International Conference on Image Processing

Proceedings of 3rd IEEE International Conference on Image Processing

Proceedings., International Conference on Image Processing

Proceedings of 1st International Conference on Image Processing

Perceptually optimized MPEG compression of synthetic video sequences

Content Provider	IEEE Xplore Digital Library
Author	Masala, E. Quaglia, D.
Copyright Year	2005
Description	Author affiliation: Dipt. di Autom. e Informatica, Politecnico di Torino, Turino, Italy (Masala, E.; Quaglia, D.)
Abstract	This paper addresses the problem of improving the quality performance of synthetic video sequences by means of standard frame-based coders. The proposed technique can exploit both the knowledge of the 3D model and the intermediate information computed during the rendering process. Firstly, objects are classified, either semantically or automatically, according to their importance. Then the object classification is translated into a macroblock classification, with particular attention to object boundaries. The classification influences the encoder parameters selection, for instance, the quantization parameter. In order to maximize the performance, we propose a rate-distortion formulation of the problem. Experimental results compared with model-unaware encoding show that the proposed techniques can deliver consistent visual quality improvements for different synthetic scenarios using the same bitrate or even less. Demo sequences are available at http://media.polito.it/perceptual3d.
File Size	168045
File Format	PDF
ISBN	0780391349
DOI	10.1109/ICIP.2005.1529822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transform coding Video sequences Quantization Bit rate Animation Code standards Encoding Virtual reality Video coding Computational complexity
Content Type	Text
Resource Type	Article

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