Abstract
In this paper, we present the features implemented in the 4th version of the VIREO Video Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model, which allows the user to specify a video scene with objects and their basic properties, including color, size, and location. We further utilize the temporal relation between video frames to strengthen this retrieval model. For text-based retrieval module, we supply speech and on-screen text for free-text search and upgrade the concept bank for concept search. The search interface is also re-designed targeting the novice user. With the introduced system, we expect that the VIREO-VSS can be a competitive participant in the Video Browser Showdown (VBS) 2020.
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CITATION STYLE
Nguyen, P. A., Wu, J., Ngo, C. W., Francis, D., & Huet, B. (2020). VIREO @ Video Browser Showdown 2020. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11962 LNCS, pp. 772–777). Springer. https://doi.org/10.1007/978-3-030-37734-2_68
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