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
收藏
页码：182 / 193
页数：12
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