HyText - A Scene-Text Extraction Method for Video Retrieval

被引：2

作者：

Theus, Alexander ^{[1
]}

Rossetto, Luca ^{[1
]}

Bernstein, Abraham ^{[1
]}

机构：

[1] Univ Zurich, Dept Informat, Zurich, Switzerland

来源：

MULTIMEDIA MODELING, MMM 2022, PT II | 2022年 / 13142卷

关键词：

Scene-text extraction; Video text extraction; Video retrieval; RECOGNITION; SEQUENCE;

D O I：

10.1007/978-3-030-98355-0_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Scene-text has been shown to be an effective query target for video retrieval applications in a known-item search context. While much progress has been made in scene-text extraction from individual pictures, the special case of video has so far received less attention. This paper introduces HyText, a scene-text extraction method for video with a focus on retrieval applications. HyText uses intermittent scene-text detection in combination with bi-directional tracking in order to increase throughput without reducing detection accuracy.

引用

页码：182 / 193

页数：12

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