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Future-Supervised Retrieval of Unseen Queries for Live Video
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
Live streaming video presents new challenges for retrieval and content understanding. Its live nature means that video representations should be relevant to current content, and not necessarily to past content. We investigate retrieval of previously unseen queries for live video content. Drawing from existing whole-video techniques, we focus on adapting image-trained semantic models to the video domain. We introduce the use of future frame representations as a supervision signal for learning
doi:10.1145/3123266.3123437
dblp:conf/mm/CappalloS17
fatcat:t3wgpjthpfhnnbq6eeu56flsyu