TY - GEN
T1 - Low-complexity power-scalable multi-view distributed video encoder +
AU - Kang, Li Wei
AU - Lu, Chun Shien
PY - 2007
Y1 - 2007
N2 - To meet the requirements of resource-limited video sensors, low-complexity video encoding technique is highly desired. In this paper, we propose a low-complexity power-scalable multi-view distributed video encoding scheme by using the correlations among video frames from adjacent video sensor nodes via robust media hashing extracted at encoder and using the global motion parameters estimated and fed back from the decoder. In addition, the proposed method is power-scalable, which is adaptive based on the available power supply of the video sensor. The power-rate-distortion behavior of the proposed scheme is also analyzed in order to maximize the video quality under limited sensor resource allocation.
AB - To meet the requirements of resource-limited video sensors, low-complexity video encoding technique is highly desired. In this paper, we propose a low-complexity power-scalable multi-view distributed video encoding scheme by using the correlations among video frames from adjacent video sensor nodes via robust media hashing extracted at encoder and using the global motion parameters estimated and fed back from the decoder. In addition, the proposed method is power-scalable, which is adaptive based on the available power supply of the video sensor. The power-rate-distortion behavior of the proposed scheme is also analyzed in order to maximize the video quality under limited sensor resource allocation.
KW - Low-complexity video coding
KW - Multi-view distributed video coding
KW - Power-scalable video coding
KW - Wireless video sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84898077961&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898077961&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84898077961
SN - 9789898109057
T3 - PCS 2007 - 26th Picture Coding Symposium
BT - PCS 2007 - 26th Picture Coding Symposium
T2 - 26th Picture Coding Symposium, PCS 2007
Y2 - 7 November 2007 through 9 November 2007
ER -