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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bhadouria, Vivek Singh Singh, Kh. Manglem Roy, Sudipta Thounaojam, Dalton Meitei |
| Copyright Year | 2017 |
| Abstract | The paper proposes a shot boundary detection system using Gist and local descriptor. Gist provides the perceptual and conceptual information of a scene. The proposed system can be roughly divided into three steps. The first step consists of forming of groups of frames by calculating the correlation of the Gist features between consecutive frames of the video. Secondly, abrupt transitions are found out using the group (G), MSER and a threshold (for abrupt separately, $$th_{cut}$$ ). And lastly, gradual transitions of the video are found using triangular pattern matching. We have performed the experiment on TRECVid 2001 and 2007 dataset. The novel contribution of this paper is that the proposed system shows an activity-based shot boundary detection where only the possible transition regions of a video are considered for shot detection. This approach reduces the computational complexity by processing the transition regions only. We have achieved better results in terms of F1, precision and recall, when compared to previously published approaches. |
| Starting Page | 167 |
| Ending Page | 174 |
| Page Count | 8 |
| File Format | |
| ISSN | 21926611 |
| Journal | International Journal of Multimedia Information Retrieval |
| Volume Number | 6 |
| Issue Number | 2 |
| e-ISSN | 2192662X |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2017-03-23 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Information Systems Applications (incl.Internet) Gist Shot boundary detection MSER Information Storage and Retrieval Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Science Gradual Multimedia Information Systems Abrupt |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Media Technology |
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