An Integrated Framework for Semantic Annotation and Adaptation
Multimedia Tools and Applications
Perfect requantization for video transcoding
Multimedia Tools and Applications
A novel approach for fast codebook re-quantization
Pattern Recognition
SVC adaptation: Standard tools and supporting methods
Image Communication
Mixed architectures for H.264/AVC digital video transrating
Multimedia Tools and Applications
Leveraging the quantization offset for improved requantization transcoding of H.264/AVC video
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Fine grain scalability of bitrate using AVC/H.264 bitstream truncation
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Requantization transcoding for H.264/AVC video coding
Image Communication
Toward optimal real-time transcoding using requantization in the DCT domain
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fast requantization using self organizing feature map with orthogonal polynomials transform
Proceedings of the 2011 International Conference on Communication, Computing & Security
Quantizer offset selection for improved requantization transcoding
Image Communication
Requantization transcoding in pixel and frequency domain for intra 16x16 in H.264/AVC
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Requantization transcoding of H.264/AVC bitstreams for intra 4×4 prediction modes
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
An edge preserving requantization model for color image coding with orthogonal polynomials
Digital Signal Processing
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An investigation on requantization for transcoding of video signals is carried out. Specifically, MPEG-2 compatible discrete cosine transform (DCT) intraframe coding is addressed. The aim of this work is twofold: first, to provide a theoretical analysis of the transcoding problem, and second, to derive quantization methods for efficient transcoding based on the results of the analysis. The mean squared error (MSE) cost function is proposed for designing a quantizer with minimum distortion resulting in up to 1.3 dB gain compared with the quantizer used in the MPEG-2 reference coder TM5. However, the MSE quantizer leads in general to a larger bit rate and may therefore only be applied locally to blocks of sensitive image content. A better rate-distortion performance can be provided by the maximum a posteriori (MAP) cost function. In critical cases, the MAP quantizer gives a 0.4 dB larger signal-to-noise-ratio (SNR) at the same bit rate compared with the TM5 quantizer. The results are not limited to MPEG-2 and can be adapted to other coding schemes such as H.263 or JPEG