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Overview of Potential Technologies for Future Video Coding Standard (FVC) in JEM Software
Ismail Marzuki,Donggyu Sim 대한전자공학회 2018 IEIE Transactions on Smart Processing & Computing Vol.7 No.1
In this paper, we present an investigation into several potential technologies that are being developed and prepared for Future Video Coding (FVC) standard. There are some requirements that need to be considered in delivering the FVC standard. The Joint Video Exploration Team (JVET) is now inspecting potential tools to be adopted as video coding technology under the Joint Exploration Model (JEM) reference software. This paper provides an overview of the technical features of JEM software, a brief account of the background, and the key elements according to the latest version of JEM software and its algorithm description.
Distributed Video Coding for Illumination Compensation of Multi-view Video
( Seanae Park ),( Donggyu Sim ),( Byeungwoo Jeon ) 한국인터넷정보학회 2010 KSII Transactions on Internet and Information Syst Vol.4 No.6
In this paper, we propose an improved distributed multi-view video coding method that is robust to illumination changes among different views. The use of view dependency is not effective for multi-view video because each view has different intrinsic and extrinsic camera parameters. In this paper, a modified distributed multi-view coding method is presented that applies illumination compensation when generating side information. The proposed encoder codes DC values of discrete cosine transform (DCT) coefficients separately by entropy coding. The proposed decoder can generate more accurate side information by using the transmitted DC coefficients to compensate for illumination changes. Furthermore, AC coefficients are coded with conventional entropy or channel coders depending on the frequency band. We found that the proposed algorithm is about 0.1~0.5 dB better than conventional algorithms.
Integer-Pel Motion Estimation for HEVC on Compute Unified Device Architecture (CUDA)
Lee, Dongkyu,Sim, Donggyu,Oh, Seoung-Jun The Institute of Electronics and Information Engin 2014 IEIE Transactions on Smart Processing & Computing Vol.3 No.6
A new video compression standard called High Efficiency Video Coding (HEVC) has recently been released onto the market. HEVC provides higher coding performance compared to previous standards, but at the cost of a significant increase in encoding complexity, particularly in motion estimation (ME). At the same time, the computing capabilities of Graphics Processing Units (GPUs) have become more powerful. This paper proposes a parallel integer-pel ME (IME) algorithm for HEVC on GPU using the Compute Unified Device Architecture (CUDA). In the proposed IME, concurrent parallel reduction (CPR) is introduced. CPR performs several parallel reduction (PR) operations concurrently to solve two problems in conventional PR; low thread utilization and high thread synchronization latency. The proposed encoder reduces the portion of IME in the encoder to almost zero with a 2.3% increase in bitrate. In terms of IME, the proposed IME is up to 172.6 times faster than the IME in the HEVC reference model.
Early Termination of Block Vector Search for Fast Encoding of HEVC Screen Content Coding
Ma, Jonghyun,Sim, Donggyu The Institute of Electronics and Information Engin 2014 IEIE Transactions on Smart Processing & Computing Vol.3 No.6
This paper proposes an early termination method of a block vector search for fast encoding of high efficiency video coding (HEVC) screen content coding (SCC). In the proposed algorithm, two blocks indicated by two block vector predictors (BVPs) were first employed as an intra block copy (IBC) search. If the sum of absolute difference (SAD) value of the block is less than a threshold defined empirically, an IBC BV search is terminated early. The initial threshold for early termination is derived by statistical analysis and it can be modified adaptively based on a quantization parameter (QP). The proposed algorithm is evaluated on SCM-2.0 under all intra (AI) coding configurations. Experimental results show that the proposed algorithm reduces IBC BV search time by 29.23% on average while the average BD-rate loss is 0.41% under the HEVC SCC common test conditions (CTC).