Video2Vec: Learning Semantic Spatio-Temporal Embedding for Video Representations
abstract: High-level inference tasks in video applications such as recognition, video retrieval, and zero-shot classification have become an active research area in recent years. One fundamental requirement for such applications is to extract high-quality features that maintain high-level informatio...
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Format: | Dissertation |
Language: | English |
Published: |
2016
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Online Access: | http://hdl.handle.net/2286/R.I.40765 |