Recent investigations have shown that the support of extended block sizes for motion-compensated ... more Recent investigations have shown that the support of extended block sizes for motion-compensated prediction and transform coding can significantly increase the coding efficiency for high-resolution video relative to H.264/AVC. In this paper, we present a new context-modeling scheme for the coding of transform coefficient levels that is particularly suitable for transform blocks greater than 8x8. While the basic concept for transform coefficient coding is similar to CABAC, the probability model selection has been optimized for larger block transforms. The proposed context modeling is compared to a straightforward extension of the CABAC context modeling; both schemes have been implemented in a hybrid video codec design that supports block sizes of up to 128x128 samples. In our simulations, we obtained overall bit rate reductions of up to 4%, with an average of 1.7% with the proposed context modeling scheme.
Recent investigations have shown that the support of extended block sizes for motion-compensated ... more Recent investigations have shown that the support of extended block sizes for motion-compensated prediction and transform coding can significantly increase the coding efficiency for high-resolution video relative to H.264/AVC. In this paper, we present a new context-modeling scheme for the coding of transform coefficient levels that is particularly suitable for transform blocks greater than 8x8. While the basic concept for transform coefficient coding is similar to CABAC, the probability model selection has been optimized for larger block transforms. The proposed context modeling is compared to a straightforward extension of the CABAC context modeling; both schemes have been implemented in a hybrid video codec design that supports block sizes of up to 128x128 samples. In our simulations, we obtained overall bit rate reductions of up to 4%, with an average of 1.7% with the proposed context modeling scheme.
Uploads
Papers by tung Nguyen