Video abstraction, high level video segmentation, video indexing, video summarization and video retrieval needs a basic step of detection of shot boundaries. Therefore detection of shot boundaries is prerequisite for revealing content of higher level video structure. There are various applications where shot boundary detection automation can be used such as Geographical Information System (GIS), restoration of video, multimedia news, digital libraries, telelearning, interactive display. There are some issues that still need to be addressed by the researchers to resolve. The disturbance caused by the illumination change, detection of gradual and abrupt transitions are the major challenges in the shot boundary detection. It is but difficult to implement such algorithm which is insensitive to illumination change disturbance and can detect the shot boundaries of all types. In this book we focus on illumination removal and detection of abrupt transition.The results are evaluated using performance metrics Recall, Precision and F1 measure.
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Dr. Parul S. Arora has obtained her Ph.D in Electronics Engineering. Her area of research is Video shot boundary detection, Image enhancement and retrieval, Face recognition.She has published papers in several reputed journals like Springer, Elsevier, IEEE etc. She is working as Asso. Professor & Executive member in R & D cell at G.H.R.C.E.M, Pune.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Video abstraction, high level video segmentation, video indexing, video summarization and video retrieval needs a basic step of detection of shot boundaries. Therefore detection of shot boundaries is prerequisite for revealing content of higher level video structure. There are various applications where shot boundary detection automation can be used such as Geographical Information System (GIS), restoration of video, multimedia news, digital libraries, telelearning, interactive display. There are some issues that still need to be addressed by the researchers to resolve. The disturbance caused by the illumination change, detection of gradual and abrupt transitions are the major challenges in the shot boundary detection. It is but difficult to implement such algorithm which is insensitive to illumination change disturbance and can detect the shot boundaries of all types. In this book we focus on illumination removal and detection of abrupt transition.The results are evaluated using performance metrics Recall, Precision and F1 measure. 336 pp. Englisch. Seller Inventory # 9783659821141
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Arora Parul S.Dr. Parul S. Arora has obtained her Ph.D in Electronics Engineering. Her area of research is Video shot boundary detection, Image enhancement and retrieval, Face recognition.She has published papers in several reputed j. Seller Inventory # 158605809
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Video abstraction, high level video segmentation, video indexing, video summarization and video retrieval needs a basic step of detection of shot boundaries. Therefore detection of shot boundaries is prerequisite for revealing content of higher level video structure. There are various applications where shot boundary detection automation can be used such as Geographical Information System (GIS), restoration of video, multimedia news, digital libraries, telelearning, interactive display. There are some issues that still need to be addressed by the researchers to resolve. The disturbance caused by the illumination change, detection of gradual and abrupt transitions are the major challenges in the shot boundary detection. It is but difficult to implement such algorithm which is insensitive to illumination change disturbance and can detect the shot boundaries of all types. In this book we focus on illumination removal and detection of abrupt transition.The results are evaluated using performance metrics Recall, Precision and F1 measure.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 336 pp. Englisch. Seller Inventory # 9783659821141
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Taschenbuch. Condition: Neu. Multiresolution Techniques in Video Shot Boundary Detection | A step towards high level Video Segmentation | Parul S. Arora (u. a.) | Taschenbuch | 336 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659821141 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103994891
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Video abstraction, high level video segmentation, video indexing, video summarization and video retrieval needs a basic step of detection of shot boundaries. Therefore detection of shot boundaries is prerequisite for revealing content of higher level video structure. There are various applications where shot boundary detection automation can be used such as Geographical Information System (GIS), restoration of video, multimedia news, digital libraries, telelearning, interactive display. There are some issues that still need to be addressed by the researchers to resolve. The disturbance caused by the illumination change, detection of gradual and abrupt transitions are the major challenges in the shot boundary detection. It is but difficult to implement such algorithm which is insensitive to illumination change disturbance and can detect the shot boundaries of all types. In this book we focus on illumination removal and detection of abrupt transition.The results are evaluated using performance metrics Recall, Precision and F1 measure. Seller Inventory # 9783659821141
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