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, fairly with the finalization of the ISO multimedia coding normal, MPEG-4. MPEG-4 is the rising common for the coding of multimedia content material. It defines a syntax for a suite of content-based functionalities, specifically, content-based interactivity, compression and common entry. although, it doesn't specify how the video content material is to be generated. To generate the video content material, video should be segmented into video items and tracked as they transverse around the video frames. This booklet addresses the tricky 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 with a view to increase the standard of videoconferencing photos in particular within the facial zone. Modal-based coding is a content-based coding procedure used to code man made items that experience develop into an enormous a part of video content material. It leads to super low bit charges simply because in basic terms the parameters had to signify the modal are transmitted. Model-based coding is integrated to supply historical past info for the factitious item coding in MPEG-4. finally, MPEG-4, the 1st coding usual for multimedia content material is defined intimately. the themes lined contain the coding of audio items, the coding of common and artificial video items, and blunder resilience. complex Video Coding is likely one of the first books on content-based coding and MPEG-4 coding normal. It serves as a very good details resource and reference for either researchers and working towards engineers.
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Extra info for Advanced Video Coding: Principles and Techniques: The Content-based Approach (Advances in Image Communication, Volume 7)
Thus, it seems to be inevitable that additional information such as color or intensity must be included to accurately and reliably detect boundaries of moving objects. 5. 10: Illustration of the occlusion problem. ~ in (a) uncovered background and (b) background to be covered. 5 Motion Estimation Virtually all motion estimation algorithms in video communication have been developed for coding purposes with different objectives from those of motion segmentation. They aim at minimizing the prediction error after motion-compensation so that only a comparatively small residue must be encoded.
In addition, HCF is more flexible than ICM, because it does not require an initial estimate. The price to be paid is a slight increase in computational complexity. Nevertheless, HCF is still much faster than the simulated annealing approaches. 2 Edge Detection Often, segmentation techniques are classified into two categories . In the first category, images are partitioned based on discontinuities or edges, whereas the second category groups pixels based on similarity. Only segmentation algorithms of the second category will be considered, because they promise to yield more useful results.
The simplification effect of morphological opening-closing by reconstruction 5 is illustrated in Fig. 4 for the image palms. In particular, notice that the intensity of the simplified image is more homogeneous and therefore 26 C H A P T E R 1. 4: (a) Original image palms and (b) output of morphological opening-closing by reconstruction with a structuring element B of size 7 • 7 pixels. easier to segment. Morphological opening-closing by reconstruction is one of the most widely used simplification tools, but there exist other morphological tools that serve this purpose, such as area opening-closing filters.
Advanced Video Coding: Principles and Techniques: The Content-based Approach (Advances in Image Communication, Volume 7) by K.N. Ngan, T. Meier, D. Chai