Block-based method for real-time compound video compression

In this paper, we propose a novel compound video compression method for real-time applications of computer screen video transmission. The compound video is a very special kind of video, which usually has less motion and contains a mixture of text, graphics, and natural pictures in each frame. A variety of algorithms has been proposed for compound image compression, which tries to remove the spatial redundancy of a single image. However, few works have addressed the problem of compound videos compression. Therefore, we review the previous works on compound image compression and discuss how to extend the existing algorithms to compound video compression. We propose a new video compression framework based on H.264. In order to improve the visual performance and network efficiency, we propose an adaptive quantization algorithm and a rate control algorithm for compound video compression. The experimental results show that the new compression method is able to compress the compound video in real-time with a relatively low computational complexity and with the motion compensation, the visual quality of the compound video is much better than simple compound image compression.

[1]  Amir Said,et al.  Simplified segmentation for compound image compression , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[2]  Dong Liu,et al.  Block-based Fast Compression for Compound Images , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[3]  Yann LeCun,et al.  DjVu: analyzing and compressing scanned documents for Internet distribution , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[4]  Ming Xu,et al.  Mixed raster content (MRC) model for compound image compression , 1998, Electronic Imaging.

[5]  Xin Li,et al.  On the study of lossless compression of computer generated compound images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[6]  Yoshua Bengio,et al.  High quality document image compression with "DjVu" , 1998, J. Electronic Imaging.

[7]  Susanto Rahardja,et al.  Adaptive frame layer rate control for H.264 , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[8]  Huipin Zhang,et al.  Determining optimal configuration of video encoding parameters using numerical search algorithms , 2008, Electronic Imaging.

[9]  Pengwei Hao,et al.  Compound image compression for real-time computer screen image transmission , 2005, IEEE Transactions on Image Processing.

[10]  Xin Li,et al.  Block-based segmentation and adaptive coding for visually lossless compression of scanned documents , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[11]  Ronald L. Rivest,et al.  The MD5 Message-Digest Algorithm , 1992, RFC.