Advanced Video Coding: Principles and Techniques: The by K.N. Ngan, T. Meier, D. Chai

By K.N. Ngan, T. Meier, D. Chai

In recent times, the paradigm of video coding has shifted from that of a frame-based method of a content-based process, quite with the finalization of the ISO multimedia coding normal, MPEG-4. MPEG-4 is the rising ordinary for the coding of multimedia content material. It defines a syntax for a collection of content-based functionalities, particularly, content-based interactivity, compression and common entry. even though, it doesn't specify how the video content material is to be generated. To generate the video content material, video needs to be segmented into video items and tracked as they transverse around the video frames. This e-book addresses the tough challenge of video segmentation, and the extraction and monitoring of video item planes as outlined in MPEG-4. It then specializes in the categorical factor of face segmentation and coding as utilized to videoconferencing which will increase the standard of videoconferencing photographs particularly within the facial quarter. Modal-based coding is a content-based coding method used to code man made gadgets that experience turn into a tremendous a part of video content material. It leads to tremendous low bit charges simply because in basic terms the parameters had to characterize the modal are transmitted. Model-based coding is integrated to supply heritage info for the factitious item coding in MPEG-4. finally, MPEG-4, the 1st coding common for multimedia content material is defined intimately. the themes lined contain the coding of audio gadgets, the coding of ordinary and artificial video gadgets, and blunder resilience. complex Video Coding is among the first books on content-based coding and MPEG-4 coding commonplace. It serves as a great details resource and reference for either researchers and working towards engineers.

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Additional info for Advanced Video Coding: Principles and Techniques: The Content-based Approach (Advances in Image Communication, Volume 7)

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The confidence c(i,j) of a committed site (i, j) is now defined as the difference between the current local energy and the minimum local energy. That is, c(i, j) - { if (i, j) committed, and Ui,j(X(i,j)) - mini Ui,j(1), minLck (Ui,j(1) - mink Ui,j(k)) , if (i, j) uncommitted. 17) Roughly speaking, a positive value of c(i, j) indicates that a more stable (lower energy) estimate X will result if the value at (i, j) is changed from X(i, j) to 1. The larger c(i, j), the more confident we are about the change.

Canny first defines three criteria that an ideal edge detector should meet. These are good detection, good localization, and only one response to a single edge. The first criterion requires the edge operator to have a low probability both for missing real edges and for false alarms. Good localization means that the detected edges should be as close as possible to the center of the true edge. The third and last criterion makes sure that a single edge does not result in multiple detected edges, particularly in the case of thick edges.

The reconstruction is accomplished by choosing I as the reference image R, which guarantees that for each pixel the resulting gray-level will not be higher than that in the original image 14. The strength of the morphological opening (closing) by reconstruction filter is that it removes small bright (dark) components, while perfectly preserving other components and their contours. Obviously, the size of removed components depends on the structuring element B. The simplification effect of morphological opening-closing by reconstruction 5 is illustrated in Fig.

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