@article{(Open Science Index):https://publications.waset.org/pdf/8188,
	  title     = {Fast Search for MPEG Video Clips Using Adjacent Pixel Intensity Difference Quantization Histogram Feature},
	  author    = {Feifei Lee and  Qiu Chen and  Koji Kotani and  Tadahiro Ohmi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose a novel fast search algorithm for short MPEG video clips from video database. This algorithm is based on the adjacent pixel intensity difference quantization (APIDQ) algorithm, which had been reliably applied to human face recognition previously. An APIDQ histogram is utilized as the feature vector of the frame image. Instead of fully decompressed video frames, partially decoded data, namely DC images are utilized. Combined with active search [4], a temporal pruning algorithm, fast and robust video search can be realized. The proposed search algorithm has been evaluated by 6 hours of video to search for given 200 MPEG 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 3 % is achieved, which is more accurately and robust than conventional fast video search algorithm.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {6},
	  year      = {2009},
	  pages     = {1337 - 1340},
	  ee        = {https://publications.waset.org/pdf/8188},
	  url   	= {https://publications.waset.org/vol/30},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 30, 2009},
	}