V-FIRST: A Flexible Interactive Retrieval System for Video at VBS 2022
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 13142 LNCS, Page: 562-568
2022
- 7Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations7
- Citation Indexes7
- CrossRef6
Conference Paper Description
Video retrieval systems have a wide range of applications across multiple domains, therefore the development of user-friendly and efficient systems is necessary. For VBS 2022, we develop a flexible interactive system for video retrieval, namely V-FIRST, that supports two scenarios of usage: query with text descriptions and query with visual examples. We take advantage of both visual and temporal information from videos to extract concepts related to entities, events, scenes, activities, and motion trajectories for video indexing. Our system supports queries with keywords and sentence descriptions as V-FIRST can evaluate the semantic similarities between visual and textual embedding vectors. V-FIRST also allows users to express queries with visual impressions, such as sketches and 2D spatial maps of dominant colors. We use query expansion, elastic temporal video navigation, and intellisense for hints to further boost the performance of our system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85127105063&origin=inward; http://dx.doi.org/10.1007/978-3-030-98355-0_55; https://link.springer.com/10.1007/978-3-030-98355-0_55; https://dx.doi.org/10.1007/978-3-030-98355-0_55; https://link.springer.com/chapter/10.1007/978-3-030-98355-0_55
Springer Science and Business Media LLC
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