9783659964992 - Motion Estimation Algorithms for H.264/AVC using Modified AOS Methods di Bachu, Srinivas (6 risultati)

Taschenbuch. Condizione: Neu. Motion Estimation Algorithms for H.264/AVC using Modified AOS Methods | Srinivas Bachu | Taschenbuch | 152 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659964992 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmission and storage, the redundancy among adjacent frames must be exploited. A frame is selected as reference and subsequent frames are predicted from the reference frame using a technique known as motion estimation. The purpose of achieving redundancy in motion compensated prediction is to find the best possible block matching without considering a large number of search points to minimize the compression efficiency. In this research work, two approaches concerned with the block matching for making easy of computation in finding the frame proposed on H.264/AVC. In the first approach, Adaptive Order Square Hexagon (AOSH) search algorithm was developed. In the second approach, Adaptive Order Cross Square Hexagon (AOCSH) search algorithm.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmission and storage, the redundancy among adjacent frames must be exploited. A frame is selected as reference and subsequent frames are predicted from the reference frame using a technique known as motion estimation. The purpose of achieving redundancy in motion compensated prediction is to find the best possible block matching without considering a large number of search points to minimize the compression efficiency. In this research work, two approaches concerned with the block matching for making easy of computation in finding the frame proposed on H.264/AVC. In the first approach, Adaptive Order Square Hexagon (AOSH) search algorithm was developed. In the second approach, Adaptive Order Cross Square Hexagon (AOCSH) search algorithm. 152 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bachu Dr. SrinivasDr. Srinivas Bachu obtained Ph.D Degree from GITAM Deemed To Be University, Hyderabad, has 12 years of teaching experience. At present, he is working as an Associate Professor in the Department of ECE at Marri Laxma.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmission and storage, the redundancy among adjacent frames must be exploited. A frame is selected as reference and subsequent frames are predicted from the reference frame using a technique known as motion estimation. The purpose of achieving redundancy in motion compensated prediction is to find the best possible block matching without considering a large number of search points to minimize the compression efficiency. In this research work, two approaches concerned with the block matching for making easy of computation in finding the frame proposed on H.264/AVC. In the first approach, Adaptive Order Square Hexagon (AOSH) search algorithm was developed. In the second approach, Adaptive Order Cross Square Hexagon (AOCSH) search algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmission and storage, the redundancy among adjacent frames must be exploited. A frame is selected as reference and subsequent frames are predicted from the reference frame using a technique known as motion estimation. The purpose of achieving redundancy in motion compensated prediction is to find the best possible block matching without considering a large number of search points to minimize the compression efficiency. In this research work, two approaches concerned with the block matching for making easy of computation in finding the frame proposed on H.264/AVC. In the first approach, Adaptive Order Square Hexagon (AOSH) search algorithm was developed. In the second approach, Adaptive Order Cross Square Hexagon (AOCSH) search algorithm.