1 / 18

Analysis of Adaptive GOP Algorithms for Efficient HEVC Compression

Analysis of Adaptive GOP Algorithms for Efficient HEVC Compression. Abhijith Jagannath EE5359 – Project Proposal. Topics. Basics of video coding GOP and GOP structures Why do we need adaptive GOP algorithm? Already proposed methods Implementation Schematic on HEVC. Scope of the project

elvis-young
Download Presentation

Analysis of Adaptive GOP Algorithms for Efficient HEVC Compression

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Analysis of Adaptive GOP Algorithms forEfficient HEVC Compression Abhijith Jagannath EE5359 – Project Proposal

  2. Topics Basics of video coding GOP and GOP structures Why do we need adaptive GOP algorithm? Already proposed methods Implementation Schematic on HEVC. Scope of the project References

  3. Basics of Video Coding

  4. Coding Continued..

  5. GOP - Group Of Pictures ( Video Frames ). • I-Intra Frame : P – Predicted frame : B – Bidirectional predicted frame • Order in which different types of frames are placed makes a GOP structure • A classic GOP structure is shown below GOP and GOP Structures

  6. Other GOP Structures

  7. Why Adaptive GOP? Fixed GOP structures prevent encoders from adapting to temporal variations in video sequences [6]. The transitions between scenes are the regions, where static GOP structures achieved poor performance[4]. Adaptively changing the sizes of GOP structure according to the temporal characteristics of a video sequences improves the coding efficiency [6] [5].

  8. Existing Adaptive Algorithms Adaptive GOP structure based on the positions of video cuts[4]. Adaptive GOP based on Sum of Absolute Motion Vectors (SAMV) [6]. Scene Change Detection (SCD) based on motion and residual information [5].

  9. Implementing Adaptive GOP Structure in HEVC Modified from HEVC block diagram [1]

  10. To make the GOP structure dynamically adaptive for any video sequence, there is a big challenge of changing the code in more than 100 places in the HEVC video codec. • When a known video is encoded, GOP structure can be easily determined and hard coded. • Hard coding of GOP for a given particular video can be called as static adapted GOP structure • As a proof of concept and to analyze adaptive GOP structure, static method is used. Static and Dynamic GOP

  11. Custom test sequences are created by extracting frames from the standard sequences. • The tools used are ffmpeg [8], YUV Player [10] and YUV Tools [9] Creating test sequences Frames taken from standard video sequence

  12. Custom test sequences is created with known pictures. • For the example, 4 pictures are selected and repeated for 4 frames t0 make a HD video of 12 frames. • Hence we can change the GOP structure after 4 frames accordingly. Test Sequence example Frames of custom video sequence

  13. All the test sequences are made high definition videos. • 16 frames are coded for custom made sequence. • 12 frames are codes for standard sequence. • Each sequence is codded as single frame per second. • HM 10.0 [7] is used to encode the test sequence. Test Analysis Details

  14. Results

  15. Results

  16. Results

  17. Analyzing and recognition of a unique GOP pattern that can give best results. • When the standard pattern is recognized, the project can be taken forward to implement the dynamic GOP structure. Moving Forward

  18. References G.J. Sullivan et al, “Overview of high efficiency video coding (HEVC) standard”, IEEE Trans. CSVT, vol. 22, pp, 1649 - 1668, Dec. 2012 I.E.Richardson, “The H.264 advanced video compression standard”, Wiley, Second edition, 2010. P. Anjanappa, “Performance analysis and implementation of mode dependent DCT/DST in H.264/AVC”, M.S. Thesis, EE Dept., UTA, Arlington, Texas, 2012. http://www-ee.uta.edu/dip/Courses/EE5359/Priya_Thesis_Final.pdf Y. Yokoyama, “Adaptive GOP structure selection for real-time mpeg-2 video encoding,” IEEE international conference on image processing, vol.2, pp. 832-835, Sep. 2000. L. Krulikovska. “A novel method of adaptive GOP structure based on the positions of video cuts ” ELMAR, 2011 Proceedings. Jun-RenDing, Ji-Kun Lin and Jar-Ferr Yang, “Motion-based adaptive GOP algorithms for efficient H.264/AVC compression,” IEEE Transactions on CSVT, vol 22 , Issue: 1, pp.28-42, Jan 2012. HM Software: https://hevc.hhi.fraunhofer.de/svn/svn_HEVCSoftware/ FFMPEG website : http://ffmpeg.org/ YUV Tools: http://www.sunrayimage.com/yuvtools.html YUV Player: http://www.yuvplayer.com/

More Related