Error Resilience Meaning

I have a feeling as if this could be a kind of "crash protection" against faulty streams by adding several checks if the decoded data violates some assertions which might lead to stack/heap define error resilience overflows when not checked, but will cost CPU time when used, even on compliant video

Error Resilience Wikipedia

streams. Due to a lack of documentation in the decoders or players (e.g. ffdshow, MPC-HC) I am not certain which option in the error resilience and concealment in video coding range between "careful" and "very aggressive" is the "safer but slower" or the "faster but unsafe", though... Reimar11th September 2010, 11:23"error resilience" is the old name of what is now called "error recognition" in FFmpeg: http://ffmpeg.org/doxygen/trunk/structAVCodecContext.html#cdc1b1330ab250216fee124b95c03a9b And error resilient wiki it decides how the decoder behaves if some value in the input is against the specification: whether it assumes it is a minor encoder mistake and "extends" the standard to give a meaning to that input or whether it assumes the input is corrupted and it should apply error concealment, i.e. assuming this and surrounding data have no relation with what the video really should look like and thus will try to reconstruct something reasonable-looking e.g.

Resilience Meaning In Telugu

from the previous frame. This is not a speed related option (while error concealment is very slow that is not relevant, if it is used when it shouldn't be or the other way round the result will look very horrible). LigH11th September 2010, 11:36The more interesting part might me the treatment of corrupt entropy code or sanity checks between header related frame dimensions and decoding results of corrupt data. Let's imagine a decoder reserves memory to decode width*height pixels (or the macroblock data first which they are based on). But the entropy encoded data decodes to virtually much more decompressed data than reserved according to the header dimensions, due to data corruption in a way that the wrong data looks like many more small-compressed (e.g. Huffman) codes. The decoder tries to address more memory than it was allocated. The decoder crashes. And the player with it. Does the "error resilience" option of the decoder protect you from such issues? And if yes - which value do I have to set to be best protected, "careful" or "very aggressive"? LigH16th April 2011, 18:10This question is still not answered satisfyingly. Are there no decoder developers available who know what they coded? LigH15th November 2011, 14:42I am still curious if "error resilience" is in any way related to crash protection. vBulletin v3.8.9, Copyright ©2000-2016, vBulletin Solutions, Inc.

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Resilience Meaning In Hindi

Topics For Uploaders Get Started Tips & Tricks Tools Error Resiliency and Concealment in H.264 MPEG-4 Part 10 Upcoming SlideShare Loading in …5 × 1 1 of 37 Like this http://forum.doom9.org/archive/index.php/t-156693.html presentation? Why not share! Share Email Error Resilient Video Communication byTariq Tauheed 1037views Audio compression bysamvrudhi96 267views Keynote (Tony King-Smith) - Silicon... byAMD Developer Cen... 2426views MM-4096, x265: Open Source H.265/HE... byAMD Developer Cen... 4048views Share SlideShare Facebook Twitter LinkedIn Google+ Email Email sent successfully! Embed Size (px) Start on Show related SlideShares at end http://www.slideshare.net/coldfire7/error-resiliency-and-concealment-in-h264-presentation WordPress Shortcode Link Error Resiliency and Concealment in H.264 MPEG-4 Part 10 12,873 views Share Like Download coldfire7 Follow 0 0 0 Published on Aug 28, 2008 Introduction and Description of Error Resiliency and Concealment in ISO/IEC Video Codec H.264 MPEG4 Part10 ... Published in: Technology, Economy & Finance 0 Comments 9 Likes Statistics Notes Full Name Comment goes here. 12 hours ago Delete Reply Spam Block Are you sure you want to Yes No Your message goes here Post Be the first to comment Nitesh Pawar at Tata Consultancy Services 10 months ago Yoshito Watanabe , 博士課程後期 at 横浜国立大学大学院 1 year ago Pierre Keiflin , Directeur Général chez VOGO at VOGO 1 year ago Arun Kumar Thangavel 2 years ago Ahmed Hamza at Simon Fraser University 3 years ago Show More No Downloads Views Total views 12,873 On SlideShare 0 From Embeds 0 Number of Embeds 51 Actions Shares 0 Downloads 450 Comments 0 Likes 9 Embeds 0 No embeds No notes for slide Error Resiliency and Concealment in H.264 MPEG-4 Part 10

and Indexing · Aims and Scope · Article Processing Charges · Articles in Press · Author Guidelines · https://www.hindawi.com/journals/ijdmb/2009/681078/ Bibliographic Information · Citations to this Journal · Contact Information · Editorial Board · Editorial Workflow · Free eTOC Alerts · Publication Ethics · Reviewers Acknowledgment · Submit a Manuscript · Subscription Information · Table of Contents Open Special Issues · Published Special Issues · Special Issue Guidelines Abstract Full-Text PDF Full-Text resilience meaning HTML Full-Text XML Linked References Citations to this Article How to Cite this Article Complete Special Issue International Journal of Digital Multimedia BroadcastingVolume 2009 (2009), Article ID 681078, 10 pageshttp://dx.doi.org/10.1155/2009/681078Research ArticleAdaptive Error Resilience for Video StreamingLakshmi R. Siruvuri, Paul Salama, and Dongsoo S. KimDepartment of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana resilience meaning in University-Purdue University at Indianapolis, 723 West Michigan Street, SL160, Indianapolis, IN 46202, USAReceived 1 July 2008; Revised 29 January 2009; Accepted 24 March 2009Academic Editor: Lorenzo Ciccarelli Copyright © 2009 Lakshmi R. Siruvuri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.AbstractCompressed video sequences are vulnerable to channel errors, to the extent that minor errors and/or small losses can result in substantial degradation. Thus, protecting compressed data against channel errors is imperative. The use of channel coding schemes can be effective in reducing the impact of channel errors, although this requires that extra parity bits to be transmitted, thus utilizing more bandwidth. However, this can be ameliorated if the transmitter can tailor the parity data rate based on its knowledge regarding current channel conditions. This can be achieved via feedback fro

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