Effect of saturation arithmetic on sum of absolute difference sad computation in h 264 l.jpg
This presentation is the property of its rightful owner.
Sponsored Links
1 / 8

Effect of Saturation Arithmetic on Sum of Absolute Difference (SAD) Computation in H.264 PowerPoint PPT Presentation


  • 185 Views
  • Uploaded on
  • Presentation posted in: General

Effect of Saturation Arithmetic on Sum of Absolute Difference (SAD) Computation in H.264. Venkata Suman Sanikommu ECE 734 Project Presentation. Motion Estimation. Block matching between successive frames – video compression Find the best matching block (Motion Vector)

Download Presentation

Effect of Saturation Arithmetic on Sum of Absolute Difference (SAD) Computation in H.264

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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Effect of saturation arithmetic on sum of absolute difference sad computation in h 264 l.jpg

Effect of Saturation Arithmetic on Sum of Absolute Difference (SAD) Computation in H.264

Venkata Suman Sanikommu

ECE 734 Project Presentation


Motion estimation l.jpg

Motion Estimation

  • Block matching between successive frames – video compression

    • Find the best matching block (Motion Vector)

      • Motion vector will be used to reproduce the reference frame

    • Motion vectors are found by calculating minimum SAD


Motion estimation sad l.jpg

Motion Estimation – SAD

  • SAD Computation

    • Compute (Ai – Bi) for all 16 x 16 pixels in the two blocks A and B

    • Determine which Ai – Bi is less than zero and produce the absolute value in that case, else produce Ai – Bi

    • Perform accumulate operation to all 16x16 absolute values.


Saturation arithmetic l.jpg

Saturation Arithmetic

  • Overflowed values will be represented as maximum values

    • Unsigned: 00…0h, FF…Fh

      • Example:

        • 6234h + E123h => FFFFh (saturated)


Saturation arithmetic sad 1 l.jpg

Saturation Arithmetic – SAD [1]

  • Use saturation arithmetic and limit the number of bits used to represent SAD values

    • Reduced computation complexity

    • Reduced bits for SAD

      • Might affect the quality of block matching and thus motion estimation


Saturation arithmetic sad 2 l.jpg

Saturation Arithmetic – SAD [2]

  • If min{SAD} is less than FF…Fh

    • Does not affect motion estimation

  • If min{SAD} is greater than FF…Fh

    • Affects motion estimation

      • Subset size for block matching increases

        • Increased encoded file size

      • We have to randomly select one for motion estimation

        • Randomly selected block might not be a best match


Project work l.jpg

Project Work

  • Modify H.264 SAD computation code for saturation arithmetic

  • Compare the performance of H.264 video coding for modular arithmetic and Saturation arithmetic for different number of bits.

  • What is the minimum number of bits required to successfully use saturation arithmetic?

  • How frequently does the SAD value saturate for a given number of bits to represent?

  • What is the effect of saturation on encoded file size?


Questions l.jpg

Questions?


  • Login