This book investigated in the video processing with the intention of the current study was to determine the degraded points in a video sequence and inpaint them using Affine Transform based Frame to Frame Matching Technique. The first step to detect degraded points in video is to segment its content into pixel intensities. In order to distinguish between the different types of problems such as panning, tilting, zooming, etc. In addition, related works in these techniques have been presented and compared with previous one. However, most of the algorithms in the literature review have been implanted to determine degradation in consecutive frames such as panning, tilting, zooming and finding jitters.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book investigated in the video processing with the intention of the current study was to determine the degraded points in a video sequence and inpaint them using Affine Transform based Frame to Frame Matching Technique. The first step to detect degraded points in video is to segment its content into pixel intensities. In order to distinguish between the different types of problems such as panning, tilting, zooming, etc. In addition, related works in these techniques have been presented and compared with previous one. However, most of the algorithms in the literature review have been implanted to determine degradation in consecutive frames such as panning, tilting, zooming and finding jitters. 52 pp. Englisch. Seller Inventory # 9786200115782
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chincholkar AbhijeetAbhijeet A. Chincholkar works as Assistant Professor in Electronics & Telecommunication Engineering Department of Jagadambha College of Engineering & Technology, Yavatmal. He has 10 years of teaching experience. H. Seller Inventory # 301387472
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigated in the video processing with the intention of the current study was to determine the degraded points in a video sequence and inpaint them using Affine Transform based Frame to Frame Matching Technique. The first step to detect degraded points in video is to segment its content into pixel intensities. In order to distinguish between the different types of problems such as panning, tilting, zooming, etc. In addition, related works in these techniques have been presented and compared with previous one. However, most of the algorithms in the literature review have been implanted to determine degradation in consecutive frames such as panning, tilting, zooming and finding jitters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786200115782
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book investigated in the video processing with the intention of the current study was to determine the degraded points in a video sequence and inpaint them using Affine Transform based Frame to Frame Matching Technique. The first step to detect degraded points in video is to segment its content into pixel intensities. In order to distinguish between the different types of problems such as panning, tilting, zooming, etc. In addition, related works in these techniques have been presented and compared with previous one. However, most of the algorithms in the literature review have been implanted to determine degradation in consecutive frames such as panning, tilting, zooming and finding jitters. Seller Inventory # 9786200115782
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. An Intelligent Object Inpainting Approach For Video Repairing | Abhijeet Chincholkar (u. a.) | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200115782 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 116951592