TY - GEN
T1 - Fast and efficient search for MPEG-4 video using adjacent pixel intensity difference quantization histogram feature
AU - Lee, Feifei
AU - Kotani, Koji
AU - Chen, Qiu
AU - Ohmi, Tadahiro
PY - 2010/3/22
Y1 - 2010/3/22
N2 - In this paper, a fast search algorithm for MPEG-4 video clips from video database is proposed. An adjacent pixel intensity difference quantization (APIDQ) histogram is utilized as the feature vector of VOP (video object plane), which had been reliably applied to human face recognition previously. Instead of fully decompressed video sequence, partially decoded data, namely DC sequence of the video object are extracted from the video sequence. Combined with active search, a temporal pruning algorithm, fast and robust video search can be realized. The proposed search algorithm has been evaluated by total 15 hours of video contained of TV programs such as drama, talk, news, etc. to search for given 200 MPEG-4 video clips which each length is 15 seconds. Experimental results show the proposed algorithm can detect the similar video clip in merely 80ms, and Equal Error Rate (ERR) of 2 % in drama and news categories are achieved, which are more accurately and robust than conventional fast video search algorithm.
AB - In this paper, a fast search algorithm for MPEG-4 video clips from video database is proposed. An adjacent pixel intensity difference quantization (APIDQ) histogram is utilized as the feature vector of VOP (video object plane), which had been reliably applied to human face recognition previously. Instead of fully decompressed video sequence, partially decoded data, namely DC sequence of the video object are extracted from the video sequence. Combined with active search, a temporal pruning algorithm, fast and robust video search can be realized. The proposed search algorithm has been evaluated by total 15 hours of video contained of TV programs such as drama, talk, news, etc. to search for given 200 MPEG-4 video clips which each length is 15 seconds. Experimental results show the proposed algorithm can detect the similar video clip in merely 80ms, and Equal Error Rate (ERR) of 2 % in drama and news categories are achieved, which are more accurately and robust than conventional fast video search algorithm.
KW - Adjacent pixel intensity difference quantization (APIDQ)
KW - DC sequence
KW - Fast search
KW - Histogram feature
KW - MPEG-4 video
UR - http://www.scopus.com/inward/record.url?scp=77949462362&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77949462362&partnerID=8YFLogxK
U2 - 10.1117/12.855648
DO - 10.1117/12.855648
M3 - Conference contribution
AN - SCOPUS:77949462362
SN - 9780819479426
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 2nd International Conference on Digital Image Processing
T2 - 2nd International Conference on Digital Image Processing
Y2 - 26 February 2010 through 28 February 2010
ER -