Deep Learning-Based Video Retrieval Using Object Relationships and Associated Audio Classes

被引：0

作者：

Kim, Byoungjun ^{[1
]}

Shim, Ji Yea ^{[1
]}

Park, Minho ^{[1
]}

Ro, Yong Man ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon, South Korea

来源：

MULTIMEDIA MODELING (MMM 2020), PT II | 2020年 / 11962卷

关键词：

Scene graph; Scene text; Audio classification;

D O I：

10.1007/978-3-030-37734-2_73

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a video retrieval tool for the 2020 Video Browser Showdown (VBS). The tool enhances the user's video browsing experience by ensuring full use of video analysis database constructed prior to the Showdown. Deep learning based object detection, scene text detection, scene color detection, audio classification and relation detection with scene graph generation methods have been used to construct the data. The data is composed of visual, textual, and auditory information, broadening the scope to which a user can search beyond visual information. In addition, the tool provides a simple and user-friendly interface for novice users to adapt to the tool in little time.

引用

页码：803 / 808

页数：6

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