TAILIEUCHUNG - Automatic content extraction from video using fuzzy ontology

In automatic extraction process, starts with object extraction process in video data. Objects extracted from consecutive representative frames are processed to extract related events. Event extraction process uses objects. Similarly, objects and events together are used for extracting concept. | ISSN:2249-5789 Sruthi Rose Boban et al, International Journal of Computer Science & Communication Networks,Vol 6(6),217-221 Automatic Content Extraction from Video Using Fuzzy Ontology Sruthi Rose Boban Department of CSE Cochin University College of Engg. ,Kuttanadu sruthyrose91@ Manoj Kumar P Department of CSE Cochin University College of Engg. ,Kuttanadu manojkumarpeethambaran@ Abstract Video is a common multimedia format used commonly by mankind. Extraction of useful information from a video content is needful thing to be invented. Raw data and low level features alone are not enough to fulfil the user’s requirements; that means, a deeper understanding of the content at the semantic level is necessary. A content extraction method to extract useful information such as objects events from videos automatically is proposed. In automatic extraction process, starts with object extraction process in video data. Objects extracted from consecutive representative frames are processed to extract related events. Event extraction process uses objects. Similarly, objects and events together are used for extracting concept. 1. Introduction Video contents collected from video data is the main building block elements of the infrastructure. Video data exist for educational the video data and it is generated manually using an explanation tool instead of the automatic extraction techniques such as text mining, video processing, This is skilled through the development of an ontology-based semantic content model with that semantic content extraction algorithms. Here work differs from other semantic content extraction and representation studies in lots of ways and contributes to semantic video modeling and semantic content extractions investigate areas. First of all, a metaontology, rule creation standard which is area autonomous, to create domain ontologies. Domain ontologies are including extra law definitions. The achievement of the automatic semantic .

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• Automatic content extraction from video using fuzzy ontology
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