Improving Event Resolution in Cricket Videos

Modern digital video technologies have opened the avenues for the researchers to explore the ways for effective indexing and archiving of multimedia databases. Therefore, new concepts to mine multimedia databases have emerged, and people are doing numerous researches on how to effectively handle different types of multimedia content. Event resolution is one fundamental component in sports videos which supports effective mining and indexing because the viewers prefer to watch only the interesting or exciting portions of the videos. In our research, we focus on how to effectively extract and classify data from multimedia data related to cricket videos and identify events fours, sixes, wickets, highlights, etc. This research for video/audio data extraction provides room for the addition of further audio data extraction and textual data extraction for classification of a multimodal dataset.