Taylor Rate-Distortion trade-off and Adaptive block search for HEVC Encoding

The advancement in High efficiency video coding (HEVC) is adapted for defining the subsequent generation compression model for offering efficient compression without affecting the image quality. The HEVC offers improved performance than the existing compression models. This work develops an approach...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International Conference on Advances in Electronics, Computers and Communications (Online) s. 1 - 15
Hlavní autoři: D, Anitha Kumari R., Udupa, Narendranath
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 11.12.2020
Témata:
Adaptive block search
HEVC
High efficiency video coding
Image coding
Motion estimation
R-D trade-off
Rate-distortion
Sports
Taylor series
Video coding
Video compression
ISSN:2642-6595
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:The advancement in High efficiency video coding (HEVC) is adapted for defining the subsequent generation compression model for offering efficient compression without affecting the image quality. The HEVC offers improved performance than the existing compression models. This work develops an approach for video compression by proposing weighted entropy coding and adaptive block search based Rate-Distortion (R-D) trade-off. A new R-D trade-off, named Taylor R-D trade-off, is designed using Taylor series. The adaptive block search algorithm is proposed for initiating the block search process of motion estimation in video coding by selecting the optimal block using the Hexagon Based Tree Search Algorithm (HBTSA), along with the Taylor R-D trade-off. Initially, the frames are extorted from the input video. Then, the video frames are divided into macroblocks to perform the adaptive block search. Further, the suitable blocks are selected and given to the encoding process by weighted Context-Adaptive Binary Arithmetic Coding (CABAC) that employs a weighted entropy function to persist the video quality after the compression. The results evaluate that the proposed HBTSA method shows improved PSNR and SSIM using Football, coast guard, garden, and, tennis with values 42.717dB, and 0.991, respectively.
ISSN:2642-6595
DOI:10.1109/ICAECC50550.2020.9339488