The document discusses video compression techniques like H.264 and the newer HEVC codec. It explains that HEVC can provide significantly better compression compared to H.264, reducing file sizes and network traffic. Several figures and examples are provided to illustrate video encoding and compression concepts as well as comparisons of the output between H.264 and HEVC. The conclusion discusses how important video compression techniques like HEVC will become as video resolutions increase further in the future.

1. D. J. Sanghvi College of Engineering
Rushabh Savla
Vivek Sanghvi Jain
Nayan Seth
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2. D. J. Sanghvi College of Engineering
Why Processing?
1920 x 1080
1920 x 1080 x 3
1920 x 1080 x 3 x 25
1920 x 1080 x 3 x 25 x 60
1920 x 1080 x 3 x 25 x 60 x 60
A very very big number!
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3. D. J. Sanghvi College of Engineering
Effect on Network Traffic
Video Data
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4. D. J. Sanghvi College of Engineering
Computational Complexity
Figure 1.1 Tradeoffs
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5. D. J. Sanghvi College of Engineering
Computational Complexity (Contd)
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Figure 1.2 Comparison of Different H/W

6. D. J. Sanghvi College of Engineering
Codecs + Containers
Figure 2.1 Codec and Containers
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7. D. J. Sanghvi College of Engineering
Reasons To Compress
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Figure 3.1 A Image in Different File Sizes

8. D. J. Sanghvi College of Engineering
Need For HEVC
Figure 4.1 Image Resolution
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• Support for latest UHD.
• Reduced Network Traffic
• Storing smaller files is easier.

9. D. J. Sanghvi College of Engineering
Uses
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• Netflix, Amazon Youtube, Any other streaming Media
• Blu-Ray , Digital Cinema with nearly lossless coding
• HDTV broadcast on HEVC supported televisions like the
SONY, LG, Samsung TV's

10. D. J. Sanghvi College of Engineering
Limitations
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• New Technology, slower adaptation.
• Dedicated hardware integration only recently declared.
• Software Decoder, Horsepower ambiguity problem.
• Patent troubles

11. D. J. Sanghvi College of Engineering
Similar Coding Techniques
• H.264
• VP9
• VP8
• Daala
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12. D. J. Sanghvi College of Engineering
H.264 Vs HEVC
Figure 5.1 H.264 Vs HEVC
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13. D. J. Sanghvi College of Engineering
Video Coding
Figure 6.1 Video Encoding/Decoding Process
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14. D. J. Sanghvi College of Engineering
Encoding
Figure 7.1 Encoding Process
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15. D. J. Sanghvi College of Engineering
Partition
Figure 8.1 Partition into CTU
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16. D. J. Sanghvi College of Engineering
CTU
Figure 9.1 Coding Tree Units
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17. D. J. Sanghvi College of Engineering
Prediction
Figure 10.1 Prediction of Frames
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18. D. J. Sanghvi College of Engineering
Transform Quantize Scale
Figure 11.1 Transformation, Quantization and Scaling
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19. D. J. Sanghvi College of Engineering
Entropy Coding
Figure 12.1 Entropy Coding Example
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20. D. J. Sanghvi College of Engineering
Entropy Coding (Contd)
Figure 12.2 Entropy Coding Real World Example
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21. D. J. Sanghvi College of Engineering
Efficiency of HEVC
Figure 13.1 Efficiency of HEVC
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22. D. J. Sanghvi College of Engineering
Implementation
Figure 14.1 Preparing Frames
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23. D. J. Sanghvi College of Engineering
Implementation (Contd)
Figure 14.2 Encoding the Video
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24. D. J. Sanghvi College of Engineering
Implementation (Contd)
Figure 14.3 Compression Details
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25. D. J. Sanghvi College of Engineering
Output (H.264)
Figure 15.1 H.264 Result
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26. D. J. Sanghvi College of Engineering
Output (HEVC)
Figure 15.2 HEVC Result
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27. D. J. Sanghvi College of Engineering
Output (Contd)
Figure 15.3 H.264 Output
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28. D. J. Sanghvi College of Engineering
Output (Contd)
Figure 15.4 HEVC Output
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29. D. J. Sanghvi College of Engineering
Proposed Solution
• HEVC provides far better results
• Proprietary but stable
• Daala still in development
• Being backed by all major companies
• Encoders & Decoders already on their way
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30. D. J. Sanghvi College of Engineering
Conclusion
• 100 hours of video uploaded every minute to
YouTube
• Developing new networking technologies is a
tedious task.
• Future is 8K and beyond.
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31. D. J. Sanghvi College of Engineering
Thank You