TY - JOUR
T1 - Automatic video region-of-interest determination based on user attention model
AU - Cheng, Wen-Huang
AU - Chu, Wei Ta
AU - Kuo, Jin Hau
AU - Wu, Ja Ling
PY - 2005
Y1 - 2005
N2 - This paper presents a framework for automatic video region-of-interest determination based on user attention model. In this work, a set of attempts on using video attention features and knowledge of applied media aesthetics are made. Three types of visual attention features we used are intensity, color, and motion. Referring to aesthetic principles, these features are combined according to camera motion types on the basis of a newly proposed video analysis unit, framesegment. We conduct subjective experiments on several kinds of video data and demonstrate the effectiveness of the proposed framework.
AB - This paper presents a framework for automatic video region-of-interest determination based on user attention model. In this work, a set of attempts on using video attention features and knowledge of applied media aesthetics are made. Three types of visual attention features we used are intensity, color, and motion. Referring to aesthetic principles, these features are combined according to camera motion types on the basis of a newly proposed video analysis unit, framesegment. We conduct subjective experiments on several kinds of video data and demonstrate the effectiveness of the proposed framework.
UR - http://www.scopus.com/inward/record.url?scp=40949085188&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2005.1465313
DO - 10.1109/ISCAS.2005.1465313
M3 - Conference article
AN - SCOPUS:40949085188
SN - 0271-4310
SP - 3219
EP - 3222
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
M1 - 1465313
T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
Y2 - 23 May 2005 through 26 May 2005
ER -