Algorithms for saliency detection in videos
The exponential increase in devices capable of producing and consuming multimedia, combined with the amount of data that is shared on the Internet, has made it imperative for storage, management and retrieval of such media to be extremely efficient. Content understanding of visual media, however, p...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/62334 |
| _version_ | 1811692787722092544 |
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| author | Karthik Muthuswamy |
| author2 | Deepu Rajan |
| author_facet | Deepu Rajan Karthik Muthuswamy |
| author_sort | Karthik Muthuswamy |
| collection | NTU |
| description | The exponential increase in devices capable of producing and consuming multimedia, combined with the amount of data that is shared on the Internet, has made it imperative for storage,
management and retrieval of such media to be extremely efficient. Content understanding of visual media, however, poses a significant challenge owing to the high dimensionality of the features extracted from visual media. But, this could be greatly improved if we concentrated on only the most important regions of the visual media, analogous to how the human vision system processes images and videos by focussing only on certain regions, disregarding the rest of the scene. Such a process of focussing only on certain areas is termed as selective attention and these areas are salient regions. The detection and analysis of salient regions or objects in
videos is the primary objective of the proposed research work in this thesis. |
| first_indexed | 2024-10-01T06:41:20Z |
| format | Thesis |
| id | ntu-10356/62334 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:41:20Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/623342023-03-04T00:33:21Z Algorithms for saliency detection in videos Karthik Muthuswamy Deepu Rajan School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition The exponential increase in devices capable of producing and consuming multimedia, combined with the amount of data that is shared on the Internet, has made it imperative for storage, management and retrieval of such media to be extremely efficient. Content understanding of visual media, however, poses a significant challenge owing to the high dimensionality of the features extracted from visual media. But, this could be greatly improved if we concentrated on only the most important regions of the visual media, analogous to how the human vision system processes images and videos by focussing only on certain regions, disregarding the rest of the scene. Such a process of focussing only on certain areas is termed as selective attention and these areas are salient regions. The detection and analysis of salient regions or objects in videos is the primary objective of the proposed research work in this thesis. Doctor of Philosophy (SCE) 2015-03-19T06:54:20Z 2015-03-19T06:54:20Z 2014 2014 Thesis http://hdl.handle.net/10356/62334 en 145 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Karthik Muthuswamy Algorithms for saliency detection in videos |
| title | Algorithms for saliency detection in videos |
| title_full | Algorithms for saliency detection in videos |
| title_fullStr | Algorithms for saliency detection in videos |
| title_full_unstemmed | Algorithms for saliency detection in videos |
| title_short | Algorithms for saliency detection in videos |
| title_sort | algorithms for saliency detection in videos |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | http://hdl.handle.net/10356/62334 |
| work_keys_str_mv | AT karthikmuthuswamy algorithmsforsaliencydetectioninvideos |