@inproceedings {202, title = {Hybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution}, booktitle = {IEEE International Symposium on Multimedia}, year = {2011}, abstract = {

This paper details a novel video compression pipeline using selective keyframe identification to encode video and patch-based super-resolution to decode for playback. Selective keyframe identification uses shot boundary detection and frame differencing methods to identify representative frames which are subsequently kept in high resolution within the compressed container. All other non-keyframes are downscaled for compression purposes. Patch-based super-resolution finds similar patches between an upscaled non-keyframe and the associated, high-resolution keyframe to regain lost detail via a super-resolution process. The algorithm was integrated into the H.264 video compression pipeline tested on webcam, cartoon and live-action video for both streaming and storage purposes. Experimental results show that the proposed hybrid video compression pipeline successfully achieved higher compression ratios than standard H.264, while achieving superior video quality than low resolution H.264 at similar compression ratios.

}, keywords = {keyframe, patch-based, super-resolution, video compression}, author = {J Glaister and C Chan and M Frankovich and A Tang and A Wong} } @inproceedings {364, title = {A hardware implementation of real-time video deblocking using shifted thresholding}, booktitle = {20th Canadian Conference on Electrical and Computer Engineering}, year = {2007}, abstract = {

Video compression has become very important as demand has increased for the storage and transmission of digital video content. Popular video compression schemes like MPEG encoding make use of block-transform coding techniques which are susceptible to blocking artifacts. Recently, an efficient deblocking algorithm based on the concept of shifted thresholding has been proposed. This algorithm uses only integer arithmetic and replaces division operations with bit shifting. This paper proposes a new hardware architecture for the implementation of video deblocking using shifted thresholding. A prototype system for high performance video deblocking using a FPGA (field programmable gate array) board is described. The prototype system leverages the reduced hardware complexity of the shifted thresholding algorithm to cost-effectively implement video deblocking on a FPGA board.

}, keywords = {bit shifting operation, block codes, block-transform coding technique, computer architecture, data compression, digital arithmetic, digital video content transmission, division operation, field programmable gate array board, field programmable gate arrays, FPGA board, hardware architecture, hardware complexity, integer arithmetic operation, MPEG encoding, multimedia communication, real-time video deblocking algorithm, shifted thresholding algorithm, transform coding, video coding, video communication, video compression}, doi = {http://dx.doi.org/10.1109/CCECE.2007.14}, author = {M Hansen and A Wong and W Bishop} } @inproceedings {810, title = {An efficient, parallel multi-key encryption of compressed video streams}, booktitle = {IASTED International Conference on Signal and Image Processing}, year = {2006}, address = {Honolulu, Hawaii}, abstract = {

The popularity of digital video storage and delivery systems has given rise to the need for video encryption to preserve secrecy and digital rights. Conventional encryption techniques are not appropriate for securing multimedia systems given the need to encrypt a large amount of data in real-time. This paper presents a selective video encryption algorithm that utilizes multiple stream ciphers and a unique multi-key mechanism to improve security while maintaining efficiency and format compliance. Furthermore, the algorithm is well suited for parallel hardware implementation. Finally, experimental results from the encryption of various test video sequences demonstrate the effectiveness of the video encryption scheme.

}, keywords = {multi-key encryption, parallel processing, video compression}, author = {A Wong and W Bishop} }