Comparison and Evaluation of Video Retrieval Approaches Using Query Sentences

K. Ueki, Takayuki Hori
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Abstract

Following are two mainstream approaches of video retrieval from large-scale video data using query sentences: (1) an approach to find pre-trained concepts such as objects, persons, scenes, and activities corresponding to a query sentence, and (2) an approach to map a query sentence and images/videos into the same feature space and directly search for images/videos that match the query sentence. In this study, we analyze the advantages and disadvantages of these two approaches using a large-scale video database of TRECVID benchmark and confirm whether the fusion of these approaches can improve video retrieval performance.
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基于查询句的视频检索方法的比较与评价
使用查询句从大规模视频数据中检索视频的两种主流方法是:(1)找到与查询句对应的预训练概念,如对象、人物、场景、活动等;(2)将查询句和图像/视频映射到相同的特征空间中,直接搜索与查询句匹配的图像/视频。在本研究中,我们使用TRECVID基准的大型视频数据库分析了这两种方法的优缺点,并验证了这些方法的融合是否可以提高视频检索性能。
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