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