• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.5C
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• pp.520-529
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• 2007

In this paper, we study the characteristics of parameters which are related to performance of MCTF which is a key technique for wavelet-based scalable video coding, and propose an improved MCTF method. The proposed MCTF method adopts the motion estimation of which motion vector field is distributed more uniformly using variable block sizes. By using the proposed method, the decomposition performance of temporal filter is improved, and the energy in high-frequency frames is reduced. It can help the entropy coder to generate lower bitrate. From simulation results, we verify the decomposed energy on high-frequency frame using the proposed method is reduced by 25.86% at the most in terms of variance of the high-frequency frame.

• ETRI Journal
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• v.45 no.5
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• pp.874-886
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• 2023

A joint resource-optimization scheme is investigated for nonorthogonal multiple access (NOMA)-enhanced scalable video coding (SVC) multicast in unmanned aerial vehicle (UAV)-assisted radio-access networks (RANs). This scheme allows a ground base station and UAVs to simultaneously multicast successive video layers in SVC with successive interference cancellation in NOMA. A video quality-maximization problem is formulated as a mixed-integer nonlinear programming problem to determine the UAV deployment and association, RAN spectrum allocation for multicast groups, and UAV transmit power. The optimization problem is decoupled into the UAV deployment-association, spectrum-partition, and UAV transmit-power-control subproblems. A heuristic strategy is designed to determine the UAV deployment and association patterns. An upgraded knapsack algorithm is developed to solve spectrum partition, followed by fast UAV power fine-tuning to further boost the performance. The simulation results confirm that the proposed scheme improves the average peak signal-to-noise ratio, aggregate videoreception rate, and spectrum utilization over various baselines.

• ETRI Journal
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• v.32 no.2
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• pp.281-291
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• 2010

Scalable video coding (SVC) has been standardized as an extension of the H.264/AVC standard. This paper proposes a practical real-time transport protocol (RTP) packetization scheme to transport SVC video over IP networks. In combined scalability of SVC, a coded picture of a base or scalable enhancement layer is produced as one or more video layers consisting of network abstraction layer (NAL) units. The SVC NAL unit header contains a (DID, TID, QID) field to identify the association of each SVC NAL unit with its scalable enhancement layer without parsing the payload part of the SVC NAL unit. In this paper, we utilize the (DID, TID, QID) information to derive hierarchical spatio-temporal relationship of the SVC NAL units. Based on the derivation using the (DID, TID, QID) field, we propose a practical RTP packetization scheme for generating single RTP sessions in unicast and multicast transport of SVC video. The experimental results indicate that the proposed packetization scheme can be efficiently applied to transport SVC video over IP networks with little induced delay, jitter, and computational load.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.91-96
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• 2008

An image scalablity function is noted as technology to embody One Source-Multi-use's Image division by the network Bandwidth and diversification of resolution of reception terminal recently. In MPEG present H.264/MPEG-4 AVC that do to standardization of SVC (Scalable Video Coding) that know go and SVC can offer space time SNR scalability. But, encoding that do scalable usually is known that encoding efficiency drops than encoding that do rain scalable during time and treatise that see. Examine technique to plan improvement of management quality as that aim to time, SNR scalability in treatise that see so and change FGS (Fine Granular Scalability) function that offer SNR scalability that do about scalability's particle size and encoding efficiency relation by SVC to foundation.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.260-264
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• 2013

This paper proposes a fast enhancement layer coding method to reduce computational complexity for Scalable HEVC (SHVC) which is based on High Efficiency Video Coding (HEVC). The proposed method decreases encoding time by simplifying Rate Distortion Optimization (RDO)for enhancement layers (EL). The simplification is achieved by restricting CU depths based on the correlation of coding unit (CU) depths between adjacent layers and scalability (spatial or quality) of EL. Comparing with the performance of SHM 1.0 software encoder, the proposed method reduces the encoding time by up to 31.5%.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.795-798
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• 2002

본 논문에서는 MPEG-4 표준에서 채택된 FGS(Fine Granualrity Scalability)를 이용한 계층적 비디오 부호화 방법을 적용하였다. MPEG-4 FGS는 인터넷에서 이용되는 다양한 특성의 단말기들과 대역폭 변통에서 유연성 있는 기술이다. 적용된 MPEG-4 FGS 기술은 DCT 기반 비트 평면 부호화를 이용한다. 실험에서는 일반적인 SNR 계층 비디오 코딩(Multi-layered SNR scalable video coding)과의 비교를 통해 FGS의 효율성을 평가한다. 비교는 두 부호화 기술의 PSNR 값의 분석을 가지고 이루어졌고 MPEG-4 FGS 기술이 이전의 다층 SNR계층 비디오 부호화 방법보다 평균 $1\sim2dB$ 정도의 높은 값으로 나타났다. 이를 동해 MPEG-4 FGS가 효율성면에서 다층 SNR계층 비디오 부호화 방법보다 우수함을 알 수 있지만, 단일 계층부호화(Single-layered scalable video coding)에 비해서는 효율성이 낮게 나타났다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.828-830
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• 2010

IPTV 환경에서는 콘텐츠를 수신하는 디바이스가 여러 종류가 있더라도 한번의 인코딩으로 콘텐츠 제공을 할 수 있는 Video Coding 기술인 SVC(Scalable Video Coding) 기술이 제공된다. SVC의 특징으로는 콘텐츠를 여러 계층으로 나뉘어 하나의 Base 계층과 여러 개의 Enhancement 계층을 가지게 되는데 상위계층은 하위 계층에 대해 더 추가적인 정보를 담고 있기 때문에 더 많은 계층이 전송될수록 데이터의 품질이 좋아지게 된다. 이러한 IPTV SVC환경의 그룹관리에 대해서 SVC의 특징인 계층간 순차적 관계를 적용한 안전한 사용자 그룹의 구성과 빈번한 가입과 탈퇴에 대해서 효율적인 그룹키 갱신에 대한 방법이 필요하다. 따라서 본 논문에서는 SVC의 특징인 계층간 순차적 관계를 지키는 사용자 그룹을 구성하고, 빈번한 가입/ 탈퇴에 대해서 효율적으로 처리하기 위한 일괄적인 그룹 키 갱신방법을 제안한다.

• Journal of Broadcast Engineering
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• v.12 no.4
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• pp.360-372
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• 2007

We propose a fast inter-layer mode decision method by utilizing coding information of base layer upward its enhancement layer inscalable video coding (SVC), also called MPEG-4 part 10 Advanced Video Coding Amendment 3 or H.264 Scalable Extension (SE) which is being standardized. In this paper, when the motion vectors from the base layer have zero motion (0, 0) in inter-layer motion prediction or the Integer Transform coefficients of the residual between current MB and the motion compensated MB by the predicted motion vectors from the base layer are all zero, the block mode of the corresponding block to be encoded at the enhancement layer is determined to be the $16{\times}16$ mode. In addition, if the predicted mode of the MB to be encoded at the enhancement layer is not equal to the $16{\times}16$ mode, then the rate-distortion optimization is only performed on the reduced candidated modes which are same or smaller partitioned modes. Our proposed method exhibits the complexity reduction in encoding time up to 72%. Nevertheless, it shows negligible PSNR degradation and bit rate increase up to 0.25dB and 1.73%, respectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4B
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• pp.368-376
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• 2009

Over recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. On the contrary, to preserve the same video quality, SVC(Sealable Video Coding) needs a higher bit-rate than AVC(non-layered Video Coding) due to the coding penalty($10%{\sim}30%$). In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two-user simulation environments. The simulation results show that the channel capacity of SVC is $16{\sim}20%$ smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with a new router using EDE(Extraction Decision Engine) and SVC Extractor to improve network performance. In addition, we compare the SVC environment in the proposed framework with previous research on the same way subject. The proposed network framework shows a channel capacity 50%(maximum) lower than that found in previous research studies.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.4
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• pp.280-283
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• 2009

To improve coding performance of scalable video coding which is an emerging video coding standard as an extension of H.264/AVC, SVC uses not only intra prediction and inter prediction but inter-layer prediction. This causes a problem that computational complexity is increased. In this paper, we propose an efficient intra prediction mode decision method in spatial enhancement layer to reduce the computational complexity. The proposed method selects Inra_BL mode using RD cost of Intra_BL in advance. After that, intra mode is decided by only comparing DC modes. Experimental results show that the proposed method reduces 59% of the computation complexity of intra prediction coding, while the degradation in video quality is negligible.