Automatic detection of headlines in temporally aggregated TV sports news videos

2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2013-09-01 DOI:10.1109/ISPA.2013.6703730

K. Choros

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引用次数: 12

Abstract

Internet video collections, TV shows archives, video-on-demand systems, video libraries, personal video archives offered in the Web, etc. store more and more amount of digital video data. Therefore, new methods for automatic indexing and retrieval of video data are being developed, new technologies are being proposed. Due to a huge commercial appeal the TV sports news has become one of the dominant application areas for video automatic indexing and retrieval. Content-based indexing of TV sports news usually starts by the automatic segmentation, then recognition and classification of scenes reporting sports events. The detection of video structure, not only of the simplest structural elements like frames or shots but also of video scenes, leads to the optimization of indexing process. The automatic identification of sports disciplines in TV sports news will be less time consuming if the analyzed video material is limited to player scenes included in news headlines. The temporal aggregation process facilitates the detection of headline shots. The paper presents a method of automatic detection of sports news headlines for content-based indexing of TV sports news based on video structure information.

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自动检测临时聚合电视体育新闻视频的标题

网络视频收藏、电视节目档案、视频点播系统、视频图书馆、个人视频档案等，存储着越来越多的数字视频数据。因此，正在开发自动索引和检索视频数据的新方法，正在提出新技术。电视体育新闻由于其巨大的商业吸引力，已成为视频自动索引与检索的主要应用领域之一。基于内容的电视体育新闻索引通常从自动分割开始，然后对报道体育赛事的场景进行识别和分类。对视频结构的检测，不仅是对帧或镜头等最简单的结构元素的检测，还包括对视频场景的检测，从而优化索引过程。电视体育新闻中体育学科的自动识别，如果分析的视频材料仅限于新闻标题中包含的运动员场景，将节省大量的时间。时间聚合过程便于对标题镜头的检测。提出了一种基于视频结构信息的体育新闻标题自动检测方法，用于基于内容的电视体育新闻索引。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)

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