Abstract
This paper presents a new video retrieval tool, Interactive VIdeo Search Tool (IVIST), which participates in the 2020 Video Browser Showdown (VBS). As a video retrieval tool, IVIST is equipped with proper and high-performing functionalities such as object detection, dominant-color finding, scene-text recognition and text-image retrieval. These functionalities are constructed with various deep neural networks. By adopting these functionalities, IVIST performs well in searching users’ desirable videos. Furthermore, due to user-friendly user interface, IVIST is easy to use even for novice users. Although IVIST is developed to participate in VBS, we hope that it will be applied as a practical video retrieval tool in the future, dealing with actual video data on the Internet.
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CITATION STYLE
Park, S., Song, J., Park, M., & Ro, Y. M. (2020). IVIST: Interactive VIdeo Search Tool in VBS 2020. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11962 LNCS, pp. 809–814). Springer. https://doi.org/10.1007/978-3-030-37734-2_74
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