Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news video indexing and retrieval system. Television broadcast news are captured both in Video/Audio with the accompanying subtitles in text format. News stories and identified, extracted from the video, are then tagged which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, providing distilled information such as a summarized version of the original text and highlights important key words in the text.
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Sanjoy Ghatak received BE degree in Computer Science and Engineering from Tripura Engineering College (Presently Known as NIT, Agartala) in July 2005, M.Tech degree in Computer Science and Engineering from Tripura central University, in July 2007.Currently he is working as Assistant Professor at Sikkim manipal Institute of Technology.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news video indexing and retrieval system. Television broadcast news are captured both in Video/Audio with the accompanying subtitles in text format. News stories and identified, extracted from the video, are then tagged which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, providing distilled information such as a summarized version of the original text and highlights important key words in the text. 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659384752
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghatak SanjoySanjoy Ghatak received BE degree in Computer Science and Engineering from Tripura Engineering College (Presently Known as NIT, Agartala) in July 2005, M.Tech degree in Computer Science and Engineering from Tripura centra. Bestandsnummer des Verkäufers 5152709
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news video indexing and retrieval system. Television broadcast news are captured both in Video/Audio with the accompanying subtitles in text format. News stories and identified, extracted from the video, are then tagged which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, providing distilled information such as a summarized version of the original text and highlights important key words in the text. Bestandsnummer des Verkäufers 9783659384752
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news video indexing and retrieval system. Television broadcast news are captured both in Video/Audio with the accompanying subtitles in text format. News stories and identified, extracted from the video, are then tagged which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, providing distilled information such as a summarized version of the original text and highlights important key words in the text.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659384752
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Taschenbuch. Zustand: Neu. News Video Indexing and Retrieval Method | Sanjoy Ghatak (u. a.) | Taschenbuch | 76 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659384752 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105911373
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