IVIST: Interactive Video Search Tool in VBS 2021

Yoonho Lee, Heeju Choi, Sungjune Park, Yong Man Ro

Abstract: This paper presents a new version of the Interactive VIdeo Search Tool (IVIST), a video retrieval tool, for the participation of the Video Browser Showdown (VBS) 2021. In the previous IVIST (VBS 2020), there were core functions to search for videos practically, such as object detection, scene-text recognition, and dominant-color finding. Including core functions, we newly supplement other helpful functions to deal with finding videos more effectively: action recognition, place recognition, and description searching methods. These features are expected to enable a more detailed search, especially for human motion and background description which cannot be covered by the previous IVIST system. Furthermore, the user interface has been enhanced in a more user-friendly way. With these enhanced functions, a new version of IVIST can be practical and widely-used for actual users.