TY - GEN
T1 - A joint source-channel adaptive scheme for wireless H.264 video authentication
AU - Zhu, Xinglei
AU - Chen, Chang Wen
PY - 2010
Y1 - 2010
N2 - This paper proposes a novel joint source-channel adaptive scheme that integrates the authentication into source and channel coding components to achieve 100% effective verification probability and an optimal end-to-end video quality. By jointly considering source coding and channel conditions with authentication, the proposed layered framework is able to minimize end-to-end quality degradation incurred by both wireless channel noise and authentication failure. In particular, the competing requirements of high verification probability and low authentication overhead are concurrently satisfied by elegant design of hash appending with efficient adaptation to H.264 source coding and channel conditions. A joint source-channel-authentication rate allocation scheme is then developed to achieve optimal end-to-end video quality. Experiment results on H.264 video sequences confirm the efficacy of this joint adaptive scheme and demonstrate that it indeed outperforms the state-of-the-art graph based authentication algorithms.
AB - This paper proposes a novel joint source-channel adaptive scheme that integrates the authentication into source and channel coding components to achieve 100% effective verification probability and an optimal end-to-end video quality. By jointly considering source coding and channel conditions with authentication, the proposed layered framework is able to minimize end-to-end quality degradation incurred by both wireless channel noise and authentication failure. In particular, the competing requirements of high verification probability and low authentication overhead are concurrently satisfied by elegant design of hash appending with efficient adaptation to H.264 source coding and channel conditions. A joint source-channel-authentication rate allocation scheme is then developed to achieve optimal end-to-end video quality. Experiment results on H.264 video sequences confirm the efficacy of this joint adaptive scheme and demonstrate that it indeed outperforms the state-of-the-art graph based authentication algorithms.
KW - Digital signature
KW - H.264 video rate-distortion analysis
KW - Joint adaptive scheme
KW - Media stream authentication
KW - Wireless media delivery
UR - https://www.scopus.com/pages/publications/78349263422
U2 - 10.1109/ICME.2010.5583005
DO - 10.1109/ICME.2010.5583005
M3 - Conference contribution
AN - SCOPUS:78349263422
SN - 9781424474912
T3 - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
SP - 13
EP - 18
BT - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
T2 - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Y2 - 19 July 2010 through 23 July 2010
ER -