Signal Processing

Download Advanced Video Coding: Principles and Techniques, Volume 7: by K.N. Ngan, T. Meier, D. Chai PDF

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

Lately, the paradigm of video coding has shifted from that of a frame-based method of a content-based strategy, really with the finalization of the ISO multimedia coding general, MPEG-4. MPEG-4 is the rising typical for the coding of multimedia content material. It defines a syntax for a suite of content-based functionalities, particularly, content-based interactivity, compression and common entry. in spite of 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 publication 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 for you to increase the standard of videoconferencing pictures specifically within the facial zone.
Modal-based coding is a content-based coding method used to code man made gadgets that experience turn into a massive a part of video content material. It leads to tremendous low bit charges simply because merely the parameters had to symbolize the modal are transmitted. Model-based coding is incorporated to supply heritage info for the factitious item coding in MPEG-4. finally, MPEG-4, the 1st coding general 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 mistake resilience.
Advanced Video Coding is without doubt one of the first books on content-based coding and MPEG-4 coding typical. It serves as an exceptional info resource and reference for either researchers and working towards engineers.

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4. MOTION 33 which is set to become the new video coding standard for multimedia communication. Physical objects are often characterized by a coherent motion that is different from that of the background. This makes motion a very useful feature for video sequence segmentation. 3). In fact, some motion segmentation algorithms are based solely on motion. One of the earliest systems to segment scenes into regions based on motion was described in [73]. The motion of objects is determined by identifying the position of spatial gray scale discontinuities or edges in successive frames.

44) For a sufficiently small At, the velocity can be approximated as being constant during that time interval. It follows that d(x) = u ( x ) . At, which means that the correspondence vector is proportional to the optical flow. If At is set to unity, optical flow and correspondence vectors can even be used interchangeably. It has been shown that real motion and apparent motion are in general different [74, 75]. Consider, for instance, a static scene with time-varying illumination. The real motion is obviously zero because no 3-D motion is 34 C H A P T E R 1.

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.

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