Abstract Sports video mining has gained a lot of popularity in recent years. In this paper, we pr... more Abstract Sports video mining has gained a lot of popularity in recent years. In this paper, we propose a flexible framework for summarization of cricket video content using genetic algorithm (GA). A summary of a cricket match should contain a variety of events, span the entire duration of the match and contain events of relatively high importance. These three parameters develop into a multi-objective optimization problem that is solved using genetic algorithm. Our experimental results on cricket matches are quite encouraging and we ...
Abstract In this poster, we attempt to generate content for single player level based arcade game... more Abstract In this poster, we attempt to generate content for single player level based arcade games, according to the player's skill. The objective is to make the game just enough challenging for the player. An evolvable representation of the game content is developed. The player's performance is measured after completion of each level. An Artificial Neural Network (ANN) is used to estimate the expected performance for the level content. The deviation of the actual performance of the player from the expected performance is used to ...
Abstract Video search today uses the metadata surrounding the video, ignoring its semantic conten... more Abstract Video search today uses the metadata surrounding the video, ignoring its semantic content. Over the years, a lot of research has gone into indexing and browsing of sports video content. In this work, we present a novel approach for classification of events in cricket videos and thus, summarize its visual content. The proposed method segments a cricket video into shots and identifies the visual content in them. Using sequential pattern mining and support vector machine, we classify the sequence of shots into four events, namely ...
Abstract Sports video mining has gained a lot of popularity in recent years. In this paper, we pr... more Abstract Sports video mining has gained a lot of popularity in recent years. In this paper, we propose a flexible framework for summarization of cricket video content using genetic algorithm (GA). A summary of a cricket match should contain a variety of events, span the entire duration of the match and contain events of relatively high importance. These three parameters develop into a multi-objective optimization problem that is solved using genetic algorithm. Our experimental results on cricket matches are quite encouraging and we ...
Abstract In this poster, we attempt to generate content for single player level based arcade game... more Abstract In this poster, we attempt to generate content for single player level based arcade games, according to the player's skill. The objective is to make the game just enough challenging for the player. An evolvable representation of the game content is developed. The player's performance is measured after completion of each level. An Artificial Neural Network (ANN) is used to estimate the expected performance for the level content. The deviation of the actual performance of the player from the expected performance is used to ...
Abstract Video search today uses the metadata surrounding the video, ignoring its semantic conten... more Abstract Video search today uses the metadata surrounding the video, ignoring its semantic content. Over the years, a lot of research has gone into indexing and browsing of sports video content. In this work, we present a novel approach for classification of events in cricket videos and thus, summarize its visual content. The proposed method segments a cricket video into shots and identifies the visual content in them. Using sequential pattern mining and support vector machine, we classify the sequence of shots into four events, namely ...
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Papers by Sanjeev Satheesh