Predicting visual context for unsupervised event segmentation in continuous photo-streams
Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization. Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual fe...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5466 https://ink.library.smu.edu.sg/context/sis_research/article/6469/viewcontent/1808.02289.pdf |
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| Institution: | Singapore Management University |
| Language: | English |