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 technique, quite with the finalization of the ISO multimedia coding average, MPEG-4. MPEG-4 is the rising average for the coding of multimedia content material. It defines a syntax for a collection of content-based functionalities, specifically, content-based interactivity, compression and common entry. besides the fact that, 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 gadgets 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 so one can enhance the standard of videoconferencing pictures in particular within the facial quarter. Modal-based coding is a content-based coding process used to code artificial items that experience develop into a major a part of video content material. It leads to tremendous low bit premiums simply because simply the parameters had to symbolize the modal are transmitted. Model-based coding is incorporated to supply heritage details for the artificial item coding in MPEG-4. finally, MPEG-4, the 1st coding normal for multimedia content material is defined intimately. the themes lined comprise the coding of audio gadgets, the coding of usual and artificial video gadgets, and blunder resilience. complex Video Coding is among the first books on content-based coding and MPEG-4 coding average. It serves as a very good info resource and reference for either researchers and working towards engineers.
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Extra resources for Advanced Video Coding: Principles and Techniques: The Content-based Approach (Advances in Image Communication, Volume 7)
Each of these markers forms an initial seed for a region in the final segmentation. This step also decides implicitly how many regions there will be in the final partition. Notice that marker extraction is not concerned with the location of region boundaries. This will be accomplished by the watershed algorithm in the next step. Consequently, markers typically consist only of the interior of regions. The marker extraction step often contains most of the know-how of the segmentation algorithm .
Adjacent regions of a segmentation should have significantly different values with respect to the characteristic on which they are uniform. " Notice that the characteristic or similarity measure is a low-level feature such as color, intensity, or optical flow. Therefore, apart from very simple cases where the features directly correspond to objects, the resulting partitions do not have any semantical meaning attached to them. An interpretation of the scene must be obtained by a higher-level process, after the segmentation into primitive regions has been carried out.
These filter masks are commonly known as the Sobel operator. Notice that the factors g1 in (1 25) simply represent a scaling, and they are usually omitted. 22), other well-known gradient operators for edge detection are derived, such as the Prewitt operator  and the Frei-Chen operator . 1 are probably the simplest and therefore fastest edge operators that are practical. However, the ingenious optimization approach by Canny has led to an edge operator that is widely considered to be the best edge detector .
Advanced Video Coding: Principles and Techniques: The Content-based Approach (Advances in Image Communication, Volume 7) by K.N. Ngan, T. Meier, D. Chai