H.264/AVC analysis of quality in wireless channel
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1 H.264/AVC analysis of quality in wireless channel Alexander Chuykov State University of Aerospace Instrumentation St-Petersburg, Russia November 1, 2009
2 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
3 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
4 Video transmission schema Transmitters and receivers Wire and wireless channels
5 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
6 Error protection for video Error protection for stream Effective No priority
7 Error protection for video Error protection for stream Effective No priority Error protection during video encoding (e.g. RVLC) Partly protection Compatibility loosing
8 Error protection for video Error protection for stream Effective No priority Error protection during video encoding (e.g. RVLC) Partly protection Compatibility loosing Idea! Error protection for separated substream Protection depends on substream significance
9 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
10 Model of channel Video encoder and decoder
11 Model of channel Video encoder and decoder Model of channel to produce errors with known distribution
12 Model of channel Video encoder and decoder Model of channel to produce errors with known distribution Statistics acquisition software
13 Model of channel Video encoder and decoder Model of channel to produce errors with known distribution Statistics acquisition software Not useful
14 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
15 Improved model for simulation Join channel model and decoder The encoder s source is not change (+compatibility, +performance)
16 Improved model for simulation Join channel model and decoder The encoder s source is not change (+compatibility, +performance) Only one copy of compressed video-sequence is required for all experiments (+performance)
17 Improved model for simulation Join channel model and decoder The encoder s source is not change (+compatibility, +performance) Only one copy of compressed video-sequence is required for all experiments (+performance) Decoding is more faster than encoder (+performance)
18 Improved model for simulation Join channel model and decoder The encoder s source is not change (+compatibility, +performance) Only one copy of compressed video-sequence is required for all experiments (+performance) Decoding is more faster than encoder (+performance) Limitation: The error positions are vary (easy to avoid)
19 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
20 Methods Rate-distortion compare
21 Methods Rate-distortion compare The objective metrics PSNR (Peak Signal-to-Noise Ratio) SSIM (structural similarity)
22 Methods Rate-distortion compare The objective metrics PSNR (Peak Signal-to-Noise Ratio) SSIM (structural similarity) Video sequences Claire (slow motion) Trueman (fast motion)
23 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
24 PSNR vs. SSIM PSNR SSIM MSE based Compares intensity group of pixels Compares pixels Uses window (size M M) for compare Low complexity Θ(w h) and High complexity 5O(M w low memory usage (some cells) h)+17θ(w h) and high memory usage 7 w h cells The high bound is undefined Normalized from 0 (worst) to (+ ) 1 (best) Same behavior for high bitrates Prefer for high bitrates usage Large proportional range for low bitrates
25 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
26 Video encoder H.264/AVC (ITU-T H.264 and ISO/IEC (MPEG-4) Part 10) reference version
27 Video encoder H.264/AVC (ITU-T H.264 and ISO/IEC (MPEG-4) Part 10) reference version Profiles from cellular up to home theater
28 Video encoder H.264/AVC (ITU-T H.264 and ISO/IEC (MPEG-4) Part 10) reference version Profiles from cellular up to home theater Simulation options VLC instead CABAC RTP (RFC1889) encapsulation
29 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
30 Results & bits classification H.264 has not error protection
31 Results & bits classification H.264 has not error protection Probability of channel error more than 10 6 halts decoder
32 Results & bits classification H.264 has not error protection Probability of channel error more than 10 6 halts decoder Bits classification Fatal halts decoder Nonfatal corrupt image
33 Results & bits classification H.264 has not error protection Probability of channel error more than 10 6 halts decoder Bits classification Fatal halts decoder Nonfatal corrupt image The quantity of fatal bits determine the significance of the substream
34 Results & bits classification H.264 has not error protection Probability of channel error more than 10 6 halts decoder Bits classification Fatal halts decoder Nonfatal corrupt image The quantity of fatal bits determine the significance of the substream Code protection options depend on significance of the substream
35 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
36 RD, Claire
37 Outline 1 Video transmission Video transmission schema Error protection for video Model of channel Improved model for simulation 2 Testing equipment Methods PSNR vs. SSIM Video encoder 3 Research Results & bits classification RD, Claire RD, Trueman
38 RD, Trueman
39 Thanks Any questions?
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