Paper
18 June 1998 Segmentation of gradual scene transitions using motion vector
Ok-Bae Chang, Myung-Sup Yang, Jae-Hyun Lee
Author Affiliations +
Proceedings Volume 3422, Input/Output and Imaging Technologies; (1998) https://doi.org/10.1117/12.311084
Event: Asia Pacific Symposium on Optoelectronics '98, 1998, Taipei, Taiwan
Abstract
The cut detection in a simple video sequence is relatively simple. But it becomes very difficult and complex when there are the video sequences which has special effects, i.e. gradual transition scene in the sequential frames or scenes with flash between the sequential frames. Twin comparison method were proposed earlier, but the methods also have the problem of the double calculation for applying threshold. This research review the method of detecting cuts known thus far, then analyzes and evaluates performance and reliability of those methods by experiments. This research proposes a new algorithm of detecting cuts using motion vector, and compares it with other existing methods. In addition, we simulate the synthesized video sequences that include special effects in order to prove an effectiveness of the proposed algorithm, and the results show good status.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ok-Bae Chang, Myung-Sup Yang, and Jae-Hyun Lee "Segmentation of gradual scene transitions using motion vector", Proc. SPIE 3422, Input/Output and Imaging Technologies, (18 June 1998); https://doi.org/10.1117/12.311084
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Cameras

Motion detection

Multimedia

Analytical research

Detection and tracking algorithms

Databases

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