Presentation | 1994/1/21 Scene Clustering and Cut Detection in Moving Images by DCT components Eiichi Iwanari, Yasuo Ariki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have studied a method to detect scene cuts in moving pictures by using DCT components.The DCT components of consecutive frames in moving pictures are similar when they are included in the same scene.Based on this fact,we propose a method to form clushters of consecutive frames by the similarity,and then to detect the scene cut when a cluster is newly formed.This method is different from detecting the change and regarding it as scene cut.By this method, detecting the scene cut becomes not so sensitive to the intensity changes which have been problems in conventional method.In this paper,we describe experimental results to find the best parameters of block size,frame width,and range of DCT components to make a clushter.Furthermore,we showed that this method is better in the case of flushing,dark moving picture and changing contrast, comparing with the conventional method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | DCT(Discrete Consine Transform) / Scene Analysis / Block devision / Cut detection |
Paper # | PRU93-119 |
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Committee | PRU |
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Conference Date | 1994/1/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Understanding (PRU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Scene Clustering and Cut Detection in Moving Images by DCT components |
Sub Title (in English) | |
Keyword(1) | DCT(Discrete Consine Transform) |
Keyword(2) | Scene Analysis |
Keyword(3) | Block devision |
Keyword(4) | Cut detection |
1st Author's Name | Eiichi Iwanari |
1st Author's Affiliation | Faculty of Science and Technology,Ryukoku University() |
2nd Author's Name | Yasuo Ariki |
2nd Author's Affiliation | Faculty of Science and Technology,Ryukoku University |
Date | 1994/1/21 |
Paper # | PRU93-119 |
Volume (vol) | vol.93 |
Number (no) | 431 |
Page | pp.pp.- |
#Pages | 8 |
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