DocumentCode :
483605
Title :
An implementation of the video retrieval system by video segmentation
Author :
Kim, Jang-Hui ; Lim, Hye-Youn ; Kang, Dae-Seong
Author_Institution :
Dept. of Electron. Eng., Dong-A Univ., Busan
fYear :
2008
fDate :
14-16 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Image information is widely used for the content-based retrieval of the image sequence. It is mainly used to segment a video by scene. Through this task, the structural video browsing can be achieved. The process that divides video into shots is called ldquovideo segmentationrdquo. For the video segmentation, detecting cut which is turn point of scene is called ldquocut detectionrdquo. In this paper, for the segmenting video, we use two MPEG-7 visual descriptors, which are the HMMD (Hue-Max-Min-Diff) color model and the EHD (Edge Histogram Descriptor). The goal of this paper is to implement the retrieval system as hardware by Verilog-HDL. We perform the FPGA verification, and implement the proposed retrieval system for the image sequence.
Keywords :
content-based retrieval; data compression; feature extraction; image segmentation; image sequences; video coding; video retrieval; FPGA verification; HMMD color model; MPEG-7 visual descriptor; content-based retrieval; edge histogram descriptor; feature extraction; hardware description language; image sequence; scene cut detection; verilog-HDL; video browsing structure; video retrieval system; video segmentation; Content based retrieval; Hidden Markov models; Histograms; Image edge detection; Image retrieval; Image segmentation; Image sequences; Information retrieval; Layout; MPEG 7 Standard; FPGA verification; retrieval; shot detection; video segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-4-88552-232-1
Electronic_ISBN :
978-4-88552-231-4
Type :
conf
Filename :
4773770
Link To Document :
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