1 / 8

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

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)

querida
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. 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. Effect of Saturation Arithmetic on Sum of Absolute Difference (SAD) Computation in H.264 Venkata Suman Sanikommu ECE 734 Project Presentation

  2. 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

  3. 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.

  4. Saturation Arithmetic • Overflowed values will be represented as maximum values • Unsigned: 00…0h, FF…Fh • Example: • 6234h + E123h => FFFFh (saturated)

  5. 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

  6. 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

  7. 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?

  8. Questions?

More Related