TY - GEN
T1 - Adaptive intra update for H.264 video transmissions over cognitive radio networks
AU - Liu, Yue
AU - Cuthbert, Laurie
PY - 2011
Y1 - 2011
N2 - The channel variations and restrictions to protect primary users in Cognitive Radio (CR) networks bring challenges to video transmission for secondary users. Researchers try to find a trade-off between the video compression and video quality to satisfy the requirement for video streaming. For all DCT-based video coding such as H.264 (MPEG-4 part 10), the video is encoded using Macroblock (MB) motion compensation and transform coding of the prediction residual in order to compress the video size as well as retain acceptable audiovisual quality during error-prone transmission. However, this kind of compression allows error spreading along the motion compensation path to the following frames, which can cause catastrophic quality degradation. Adaptive Intra Update (AIU) offers a good solution since the intra-coded MB is coded only using the spatial information within the same frame and can stop the error propagation and hence can improve the error resillience. Instead of transmitting a whole intra-frame intensively, which is rather rate consuming, AIU enables the refreshing process to take place in a distributed manner. In this paper, several intra update schemes for video transmission over CR networks have been investigated. The optimality is measured by computational complexity, video quality improvement and error resilience. The CR system is viewed as a Finite State Markov Chain.
AB - The channel variations and restrictions to protect primary users in Cognitive Radio (CR) networks bring challenges to video transmission for secondary users. Researchers try to find a trade-off between the video compression and video quality to satisfy the requirement for video streaming. For all DCT-based video coding such as H.264 (MPEG-4 part 10), the video is encoded using Macroblock (MB) motion compensation and transform coding of the prediction residual in order to compress the video size as well as retain acceptable audiovisual quality during error-prone transmission. However, this kind of compression allows error spreading along the motion compensation path to the following frames, which can cause catastrophic quality degradation. Adaptive Intra Update (AIU) offers a good solution since the intra-coded MB is coded only using the spatial information within the same frame and can stop the error propagation and hence can improve the error resillience. Instead of transmitting a whole intra-frame intensively, which is rather rate consuming, AIU enables the refreshing process to take place in a distributed manner. In this paper, several intra update schemes for video transmission over CR networks have been investigated. The optimality is measured by computational complexity, video quality improvement and error resilience. The CR system is viewed as a Finite State Markov Chain.
KW - Adaptive intra update
KW - Cognitive radio
KW - Finite State Markov Chain
KW - H.264
KW - Rate-Distortion model
UR - http://www.scopus.com/inward/record.url?scp=80052166914&partnerID=8YFLogxK
U2 - 10.2316/P.2011.730-041
DO - 10.2316/P.2011.730-041
M3 - Conference contribution
AN - SCOPUS:80052166914
SN - 9780889868731
T3 - Proceedings of the IASTED International Conference on Wireless Communications, WC 2011
SP - 48
EP - 53
BT - Proceedings of the IASTED International Conference on Wireless Communications, WC 2011
T2 - IASTED International Conference on Wireless Communications, WC 2011
Y2 - 1 June 2011 through 3 June 2011
ER -