By Iain E. Richardson
H.264 complex Video Coding or MPEG-4 half 10 is prime to a starting to be variety of markets comparable to excessive definition broadcasting, web video sharing, cellular video and electronic surveillance. This ebook displays the becoming significance and implementation of H.264 video know-how. providing an in depth review of the approach, it explains the syntax, instruments and lines of H.264 and equips readers with sensible suggestion on the way to get the main out of the standard.
* full of transparent examples and illustrations to provide an explanation for H.264 expertise in an available and useful approach.
* Covers simple video coding ideas, video codecs and visible caliber.
* Explains the way to degree and optimise the functionality of H.264 and the way to stability bitrate, computation and video caliber.
* Analyses contemporary paintings on scalable and multi-view types of H.264, case reviews of H.264 formats and new technological advancements reminiscent of the preferred excessive Profile extensions.
* a useful better half for builders, broadcasters, approach integrators, lecturers and scholars who are looking to grasp this burgeoning cutting-edge technology.
"[This ebook] unravels the mysteries at the back of the newest H.264 average and delves deeper into all the operations within the codec. The reader can enforce (simulate, layout, evaluation, optimize) the codec with all profiles and degrees. The publication ends with extensions and instructions (such as SVC and MVC) for extra research." Professor okay. R. Rao, The collage of Texas at Arlington, co-inventor of the Discrete Cosine Transform
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Extra resources for The H.264 Advanced Video Compression Standard (2nd Edition)
Sample text
In this image, mid-grey represents a difference of zero and light or dark greys correspond to positive and negative differences respectively. The obvious problem with this simple prediction is that a lot of energy remains in the residual frame (indicated by the light and dark areas) and this means that there is still a significant amount of information to compress after temporal prediction. Much of the residual energy is due to object movements between the two frames and a better prediction may be formed by compensating for motion between the two frames.
For a given image or image sequence, high PSNR usually indicates high quality and low PSNR usually indicates low quality. However, a particular value of PSNR does not necessarily equate to an ‘absolute’ subjective quality. 16 in which only the background of the image has been blurred. 7dB relative to the original. 16 because the face is clearer, in opposition to the PSNR rating. 7dB) P1: OTA/XYZ P2: ABC c02 JWBK457-Richardson March 22, 2010 13:47 Printer Name: Yet to Come Video formats and quality 23 quality.
7dB) P1: OTA/XYZ P2: ABC c02 JWBK457-Richardson March 22, 2010 13:47 Printer Name: Yet to Come Video formats and quality 23 quality. In this case, a human observer gives a higher importance to the face region and so is particularly sensitive to distortion in this area. 2 Other objective quality metrics Because of the limitations of crude metrics such as PSNR, there has been a lot of work in recent years to try to develop a more sophisticated objective test that more closely approaches subjective test results.