Soon-Heung Jung

Novel fast PU decision algorithm for the HEVC video standard

In this paper, we propose a fast PU decision method to reduce encoder complexity. We use an early PU decision in each CU-level based on spatio-temporal analyses and depth correlations. We also consider a classification of motion activity. Experimental results show that the encoding complexity can be reduced by up to 37.98% on average in the random access Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared to high efficiency video coding test model (HM) 7.0 reference software.

Development of QoS-Aware Ubiquitous Content Access (UCA) Testbed

In this paper, a test bed of QoS-aware ubiquitous content access (UCA), which allows a user to access and consume multimedia content through convergent networks of broadcasting and communications (WLAN/CDMA) using diverse devices in a seamless and transparent way, is designed and implemented based on the adaptation of scalable and non-scalable content. Especially, the MPEG-21 digital item adaptation (DIA) is employed to find a systematic solution in choosing an optimal adaptation operation under given usage environments in an interoperable way. Furthermore, scalable video coding (SVC) technology is adopted to provide flexible adaptation in spatial, temporal, and quality dimensions in real-time

Wipe scene-change detector based on visual rhythm spectrum

To store and retrieve large-scale video data sets effectively, the process of shot-change detection is an essential step. In this paper, we propose an automatic shot-change detection algorithm based on Visual Rhythm Spectrum. The Visual Rhythm Spectrum contains distinctive patterns or visual features for many different types of video effects. For the improvement of detection speed, the proposed algorithm is executed by using the partial data of digital compressed video. The proposed detection algorithm can be universally applied to various kinds of shot-change categories such as scene-cuts and wipes. The developed wipe detector is implemented and tested with real video sequences containing a variety of wipe types and lengths. It is shown by simulations that the proposed detection algorithm outperforms other existing approaches.

An efficient inter prediction mode decision method for fast motion estimation in HEVC

High Efficiency Video Coding (HEVC) has been developed as the newest video coding standard which achieves the goal of 50% bit-rate reduction with similar video quality compared to the previous standard, H.264/AVC. In order to achieve this improved coding performance, HEVC adopts various advanced techniques, which require heavy encoding complexity. Similar to the previous video coding standards, HEVC has the most computational complexity to perform motion estimation of inter prediction process. Proposed method can select one inter prediction mode and perform the motion estimation only on the selected inter prediction mode. Experimental results show that the prosed method reduces the computational complexity while minimizing the coding loss.

A Fast Intra Prediction Method using Hadamard Transform in High Efficiency Video Coding

For the higher coding performance than the previous video coding standards, high efficiency video coding (HEVC) adopts an angular intra prediction method, which requires heavy computational complexity due to the increased intra prediction modes. In this paper, we propose a fast intra prediction mode decision based on the estimation of rate distortion cost using Hadamard transform to reduce the number of intra prediction mode and early termination whether the current coding unit is splitted or not. The experimental results show that the proposed method reduces the computational complexity of intra prediction in HEVC and achieves similar coding performance to that of HEVC test mode 2.1

An early termination method using the residual in High Efficiency Video Coding

After the success of H.264/AVC, a next generation codec for Ultra-HD resolution video is being developed under the name called High Efficiency Video Coding(HEVC). This paper presents an optimization method for HEVC by performing early termination that preventing further CU split. In our experiments, the early termination method reduces the computational complexity without noticeable coding loss.

Complexity reduction algorithm for prediction unit decision process in high efficiency video coding

To provide very high quality and/or high resolution video content under limited bandwidth conditions for transmission or storage, the high efficiency video coding (HEVC) has been recently finalised by the joint collaborative team on video coding. In this study, the authors propose a fast prediction unit (PU) decision method to reduce the computational complexity of HEVC encoder. They use an early PU decision in each coding unit-level based on spatio-temporal analyses and depth correlations. They also consider a classification of motion activity. Experimental results show that the encoding complexity can be reduced by up to 38% on average in the random access main profile configuration with only a small bit-rate increment and a peak signal to noise ratio (PSNR) decrement, compared to high efficiency video coding test model (HM) 7.0 reference software.

Development of an ultra-HD HEVC encoder using SIMD implementation and fast encoding schemes for smart surveillance system

High efficiency video coding (HEVC) is the newest video coding standard that can support powerful video compression performance with increased picture resolution for ultrahigh definition (UHD). Compared to the previous standard, HEVC achieved a coding efficiency double with a tremendous increase in encoder computational complexity, making support of commercial applications for UHD video service difficult. Especially, optimized HEVC encoder for UHD is expected to be deployed as a key technology for an emerging smart surveillance system in Internet of Things environment. Single-instruction-multiple-data implementation on an Intel x86 processor and several fast encoding schemes were investigated for the complexity reduction of the HEVC reference model (HM) encoder. Fast encoding schemes included early termination processes and data-level parallel processing. The computational complexity of the proposed HEVC encoder was decreased by approximately 192 times compared with HM encoder with an acceptable coding loss.

A Rate-Distortion cost estimation approach to fast intra prediction in Video Coding for Ultra High Definition TV applications

For large resolution video materials used such as in Ultra High Definition TV applications, high efficiency video compression techniques with a low complexity is highly desirable. In this paper, we propose a fast intra prediction method based on the Rate Distortion cost estimation. The proposed method reduce the computational complexity of the new generation encoder with comparable image quality and bit-rate.

Media Synchronization Framework for SVC Video Transport over IP Networks

This paper proposes an efficient media synchronization framework for SVC video transport over IP networks. To support synchronization between SVC video and audio signals transported over IP networks, RTP/RTCP protocol suite is usually employed. To provide a framework for media synchronization, we suggest an efficient RTP packetization mode and propose a computationally simple RTCP packet processing method. With the suggested RTP packetization mode, layer synchronization among scalable layers of the SVC video can be effectively achieved. Also by adopting the computationally simple RTCP packet processing, we do not need to process every RTCP SR packet for inter-media synchronization between video and audio signals.