A Fusion Approach Of Video Shot Boundary Detection And Video Annotation: A Review |
Author(s): |
| Dhruvi K Patel , Ipcowala Institute of Engineering and Technology (IIET), Dharmaj |
Keywords: |
| Video Shot Boundary Detection, fades, dissolves, wipe, multimodal, Video Annotation automatic video annotations, domain specific |
Abstract |
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Now a day, large volume of digital videos has become available online to the masses and people are interested in searching videos containing specific information. Video image processing is a technique to handle the video data in an effective and efficient way. It is one of the most popular aspects in the video and image based technologies such as surveillance. Shot change boundary detection is also one of the major research areas in video signal processing. The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in automatic semantic annotation of large-scale video database. Semi-supervised learning algorithms, which attempt to learn from both labeled and unlabeled data, are promising to solve this problem. In this paper represent a review on video shot boundary detection and video annotation. |
Other Details |
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Paper ID: IJSRDV4I10204 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 169-173 |
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