Insights A Possible AI Modern Video Codec

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SUMMARY

The discussion centers on the evaluation of a potential AI modern video codec, specifically addressing misconceptions surrounding Bayer filters and data compression techniques. Participants clarify that Bayer filters do not contribute to data compression and emphasize that 8K streams are not simply organized into four 4K streams but can be represented in various formats. Additionally, the term "Invertible" is critiqued for its non-standard usage in this context. The conversation also highlights the significance of signal-to-noise ratios, noting that while a 40dB ratio is observable, traditional Analog NTSC cameras achieve ratios in the 60dB range.

PREREQUISITES
  • Understanding of video codecs, particularly H.264 and EVC Base Line.
  • Familiarity with Bayer filters and their application in imaging.
  • Knowledge of signal-to-noise ratio concepts in video technology.
  • Basic principles of data compression techniques in video streaming.
NEXT STEPS
  • Research the specifications and performance of H.264 and EVC Base Line codecs.
  • Explore the role of Bayer filters in image processing and their limitations.
  • Investigate advanced video compression techniques and their impact on streaming quality.
  • Study the implications of signal-to-noise ratios in modern video technology.
USEFUL FOR

Video engineers, codec developers, and professionals involved in video streaming optimization will benefit from this discussion.

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There is lots of iffy and confused statement in there. Bayer filters have nothing to do with data compression. The data in an 8k stream is not organized into "four 4 K streams", but can be represented in a number of other ways. The use of the word "Invertible" is strange and non-standard. A 40db signal to noise ratio is quite observable; Analog NTSC cameras would bost s/n in the 60db range.
 
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I tried a web search "the loss of programming ", and found an article saying that all aspects of writing, developing, and testing software programs will one day all be handled through artificial intelligence. One must wonder then, who is responsible. WHO is responsible for any problems, bugs, deficiencies, or whatever malfunctions which the programs make their users endure? Things may work wrong however the "wrong" happens. AI needs to fix the problems for the users. Any way to...

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