In large databases, the lack of labeled training data leads to major difficulties in classification. Semi-supervised algorithms are employed to suppress this problem. Video databases are the epitome for such a scenario. Fortunately, graph-based methods have shown to form promising platforms for Semi-supervised video classification. Based on multimodal characteristics of video data, different fe...

With the rapid development of online video data, how to find required information has become an urgent problem be solved. This article focuses on sports videos and studies classification content-based retrieval techniques. Its purpose is establish a mark index content promote user acquisition through computer processing, analysis, understanding content. Video tennis high research application va...

The article is devoted to solving the scientific problem of classifying video content in faceof an increase information volume. Computer vision a very relevant field artificial intelligencetechnologies application expand capabilities various search and archive systems. Theauthors give definitions main terms studied subject area. A formalized statement theproblem be solved presented. detailed cl...