• Proceedings of the IEEK Conference
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.525-528
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• 2005

Adaptive streaming algorithm for the realtime video decoder that can be dynamically adaptable to the network channel status or terminal environment is described and performance analyzed. An LMS filter is used to predict the bitrate and predicted bitrate is used to optimize based prediction filter is used to adapt and optimize the quality of the decoded pictures. The quality of the output pictures are about 48dB.

• Journal of the Institute of Electronics Engineers of Korea SP
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• 제41권4호
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• pp.23-30
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• 2004

In MPEG-4 video, Motion Adaptive Intra Refresh (MAIR) encodes a motion area macroblock in intra mode, thereby preventing the error propagation. Motion area is selected by difference of between current macroblock and previous macroblock. An effective implementation of the AIR is to reduce the maximum refresh time and estimate the error prone macroblock. However in the case or the MAIR, unnecessary macroblock can be encoded in intra mode. in this paper, a bitrate AIR is proposed that reduces the maximum refresh time by estimating the error prone macroblock more efficiently.

• ETRI Journal
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• 제32권4호
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• pp.626-629
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• 2010

In this letter, we present an enhanced block-based adaptive loop filter (E-BALF) with multiple filter symmetric structures. The E-BALF adapts various filter symmetric structures in a rate-distortion optimization sense, reflecting the statistical properties of each image in a video sequence. Experimental results show that the proposed method achieves a reduction in the Bj${\phi}$ntegaard delta (BD)-bitrate by an average of 9.60% compared with Joint Model 11.0 of H.264/AVC. Compared to the state-of-the-art BALF, a reduction of up to 1.13% in BD-bitrate is achieved.

• Journal of Korea Multimedia Society
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• 제3권2호
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• pp.164-173
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• 2000

This paper presents an efficient bandwidth allocation method for multiple source in the two-layer video coding of different spatial resolution. We first investigate the model of bitrate distortion in the MPEG-2 spacial scalable coding,. By using approximated model parameters, than we propose an efficient bitrate control method in order to keep the same distortion level among coders and the constant quality ratio between layers. Simulation results show that the proposed method can satify the user requirement in comparison to the conventional method.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 한국방송∙미디어공학회 2018년도 하계학술대회
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• pp.92-95
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• 2018

가상 현실을 위한 360 영상 비디오 전송기술이 활발히 연구되고 있다. 그러나 현재 가상현실 기기의 컴퓨팅 연산능력과 대역폭은 고화질 360 영상을 재생하기에 한계가 있다. 이 한계를 극복하기 위해 본 논문은 High Efficiency Video Coding (HEVC)와 Scalability Extension of HEVC (SHVC)를 활용하여 타일 기반의 360 도 영상 전송 기법을 제안한다. 제안하는 HEVC 와 SHVC 인코더는 타일을 독립적으로 전송 할 수 있는 비트 스트림을 생성한다. 제안하는 추출기는 사용자 시점에 해당하는 타일의 비트 스트림을 추출한다. 제안하는 기법에 의해 추출된 SHVC 비트스트림의 기본계층은 전체화면을 나타내며, 강화계층은 사용자 시점에 해당하는 타일로 구성된다. 제안하는 HEVC 인코더를 사용할 때에는 저화질과 고화질을 따로 인코딩하여 고화질만 사용자 시점에 해당하는 타일을 추출한다. 전체화면을 고화질로 보내는 대신에 전체화면을 저화질로, 사용자화면을 고화질로 보내기 때문에 제안하는 기법은 디코더의 컴퓨팅 연산과 네트워크 bitrate 를 대폭 줄일 수 있다. 본 제안 기법의 실험 결과는 전체화면 전송 대비 47%이상의 bitrate 를 줄인다.

• Journal of KIISE
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• 제44권4호
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• pp.423-432
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• 2017

Recently, the video quality control schemes for the improvement of the QoE (Quality of Experience) of video streaming services that are based on DASH (Dynamic Adaptive Streaming over HTTP), which is a standard of HTTP adaptive streaming (HAS) services, have been studied. However, the problem of the existing schemes is the degradation that is due to unnecessary quality changes because the VBR (Variable Bitrate) characteristics of the video are not considered. In this paper, we propose a SC-DASH (Segment Characteristics-based DASH) which controls the video quality based on the segment characteristics. The SC-DASH can prevent the occurrence of the unnecessary quality changes by controlling the video quality based on the size of the next segment, the segment throughput, and the buffer occupancy. The experiment results showed that the SC-DASH improves the QoE by reducing the unnecessary quality changes compared with the existing quality control schemes.

• Journal of the Institute of Electronics and Information Engineers
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• 제50권8호
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• pp.245-249
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• 2013

In this paper, we propose two rate control algorithms for multi-view extension of HEVC with two rate control algorithms adopted in HEVC and analyze the multi-view rate control performance. The proposed multi-view rate controls are designed on HEVC-based multi-view video coding (MV-HEVC) platform with consideration of high-level syntax, inter-view prediction, etc. not only for the base view but also for the extended views using the rate control algorithms based on URQ (Unified Rate-Quantization) and R-lambda model adopted in HEVC. The proposed multi-view rate controls also contain view-wise target bit allocation for providing the compatibility to the base view. By allocating the target bitrates for each view, the proposed multi-view rate control based on URQ model achieved about 1.83% of average bitrate accuracy and 1.73dB of average PSNR degradation. In addition, about 2.97% of average bitrate accuracy and 0.31dB of average PSNR degradation are achieved with the proposed multi-view rate control based on R-lambda model.

• Journal of Internet Computing and Services
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• 제17권6호
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• pp.9-15
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• 2016

In this paper, we propose a smart HLS(HTTP Live Stream) platform with dynamic single buffering for the best transmission of adaptive video bit-rates. This smart HLS can optimizes the channel transition zapping-time with the monitoring of bandwidth between HLS server and OTT(Over The Top) client. This platform is designed through the control of video stream due to proper multi-bitrates and bandwidths. This proposed OTT can decode the live and VOD(Video On Demand) videos with the buffering of optimumal bitrate. And, the HLS can be cooperated with a smart OTT, and segmented for the m3u8 files of H.265 MPEG-2 TS(Transport Stream) videos. As a resullt, this single buffer based smart OTT can transmit optimal videos with the maximum data buffering according to the adaptive bit-rate depending on the network bandwidth efficiency and the decoded VOD video, too.

• IEIE Transactions on Smart Processing and Computing
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• 제4권6호
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• pp.434-442
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• 2015

In this paper, we propose an integrated spatial and view scalable video codec based on high efficiency video coding (HEVC). The proposed video codec is developed based on similarity and uniqueness between the scalable extension and 3D multi-view extension of HEVC. To improve compression efficiency using the proposed scalable multi-view video codec, inter-layer and inter-view predictions are jointly employed by using high-level syntaxes that are defined to identify view and layer information. For the inter-view and inter-layer predictions, a decoded picture buffer (DPB) management algorithm is also proposed. The inter-view and inter-layer motion predictions are integrated into a consolidated prediction by harmonizing with the temporal motion prediction of HEVC. We found that the proposed scalable multi-view codec achieves bitrate reduction of 36.1%, 31.6% and 15.8% on the top of ${\times}2$, ${\times}1.5$ parallel scalable codec and parallel multi-view codec, respectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제39B권6호
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• pp.341-349
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• 2014

Dynamic adaptive streaming over HTTP (DASH) is the most recent and promising technology to support high quality streaming services. In dynamic adaptive streaming over HTTP (DASH), a client consecutively estimates the available network bandwidth and decides the transmission rate for the forthcoming video chunks to be downloaded. In this paper, we propose a novel rate adaptation algorithm called quality of experience QoE-enhanced adaptation algorithm over DASH (QAAD), which preserves the minimum buffer length to avoid interruption and minimizes the video quality changes during the playback. We implemented a DASH test bed and conducted extensive experiments. Experimental results demonstrate that under fluctuating network conditions, QAAD provides seamless streaming with stabilized video quality while the previous buffer-aware algorithm (i.e., QDASH[9]) frequently changes the video quality and undergoes the interruption.