Context-adaptive binary arithmetic coding with precise probability estimation and complexity scalability for high-efficiency video coding

2016 ◽  
Vol 25 (1) ◽  
pp. 013010 ◽  
Author(s):  
Damian Karwowski ◽  
Marek Domanski
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Arithmetic Coding ◽  
Probability Estimation ◽  
High Efficiency Video Coding ◽  
Binary Arithmetic

scholarly journals A Survey of High-Efficiency Context-Addaptive Binary Arithmetic Coding Hardware Implementations in High-Efficiency Video Coding Standard

2019 ◽  
Vol 35 (2) ◽  
Author(s):  
Dinh - Lam Tran ◽  
Viet - Huong Pham ◽  
Hung K Nguyen ◽  
Xuan - Tu Tran
Keyword(s):  
Video Coding ◽  
High Performance ◽  
High Efficiency ◽  
Arithmetic Coding ◽  
High Efficiency Video Coding ◽  
High Quality ◽  
Compression Performance ◽  
High Data ◽  
Hardware Implementations ◽  
Wide Range

High-Efficiency Video Coding (HEVC), also known as H.265 and MPEG-H Part 2, is the newest video coding standard developed to address the increasing demand for higher resolutions and frame rates. In comparison to its predecessor H.264/AVC, HEVC achieved almost double of compression performance that is capable to process high quality video sequences (UHD 4K, 8K; high frame rates) in a wide range of applications. Context-Adaptive Baniray Arithmetic Coding (CABAC) is the only entropy coding method in HEVC, whose principal algorithm is inherited from its predecessor. However, several aspects of the method that exploits it in HEVC are different, thus HEVC CABAC supports better coding efficiency. Effectively, pipeline and parallelism in CABAC hardware architectures are prospective methods in the implementation of high performance CABAC designs. However, high data dependence and serial nature of bin-to-bin processing in CABAC algorithm pose many challenges for hardware designers. This paper provides an overview of CABAC hardware implementations for HEVC targeting high quality, low power video applications, addresses challenges of exploiting it in different application scenarios and then recommends several predictive research trends in the future.

High-Performance Hardware Interpolation Architecture for High Efficiency Video Coding Decoder

2016 ◽  
Vol 11 (9) ◽  
pp. 764
Author(s):  
Lella Aicha Ayadi ◽  
Nihel Neji ◽  
Hassen Loukil ◽  
Mouhamed Ali Ben Ayed ◽  
Nouri Masmoudi
Keyword(s):  
Video Coding ◽  
High Performance ◽  
High Efficiency ◽  
High Efficiency Video Coding

scholarly journals A low-area high-efficiency video coding inverse transform core using resource and time sharing architecture

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yuan-Ho Chen ◽  
Chieh-Yang Liu
Keyword(s):  
Video Coding ◽  
Large Scale ◽  
High Efficiency ◽  
Vlsi Design ◽  
Cmos Technology ◽  
Oxide Semiconductor ◽  
Time Sharing ◽  
High Efficiency Video Coding ◽  
Low Area ◽  
Matrix Products

AbstractIn this paper, a very-large-scale integration (VLSI) design that can support high-efficiency video coding inverse discrete cosine transform (IDCT) for multiple transform sizes is proposed. The proposed two-dimensional (2-D) IDCT is implemented at a low area by using a single one-dimensional (1-D) IDCT core with a transpose memory. The proposed 1-D IDCT core decomposes a 32-point transform into 16-, 8-, and 4-point matrix products according to the symmetric property of the transform coefficient. Moreover, we use the shift-and-add unit to share hardware resources between multiple transform dimension matrix products. The 1-D IDCT core can simultaneously calculate the first- and second-dimensional data. The results indicate that the proposed 2-D IDCT core has a throughput rate of 250 MP/s, with only 110 K gate counts when implemented into the Taiwan semiconductor manufacturing (TSMC) 90-nm complementary metal-oxide-semiconductor (CMOS) technology. The results show the proposed circuit has the smallest area supporting the multiple transform sizes.

Co‐design implementation of High Efficiency Video Coding standard encoder on Zynq MPSoC

2021 ◽  
Vol 49 (4) ◽  
pp. 1013-1027
Author(s):  
Hajar Touzani ◽  
Anass Mansouri ◽  
Fatima Errahimi ◽  
Ali Ahaitouf
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
High Efficiency Video Coding
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