• 제목/요약/키워드: performance video

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배타적 논리합 기반 비디오 스트리밍 시스템의 구현 (Implementation of Exclusive OR-Based Video Streaming System)

  • 이정민;반태원
    • 한국정보통신학회논문지
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    • 제26권7호
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    • pp.1091-1097
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    • 2022
  • 본 논문에서는 배타적 논리합 연산을 활용한 비디오 스트리밍 기술인 eXclusive OR-based Cast(XC) 시스템을 구현하고, 근거리무선망 환경에서 다양한 성능지표들을 측정한다. 또한, 기존 연구들이 제한적 환경에서 시뮬레이션을 통하여 성능을 분석한 반면, 본 연구에서는 다양한 실질적인 비디오 스트리밍 환경들을 고려하여 XC 시스템의 성능 개선 정도를 확인한다. 이를 위해서 클라이언트들이 서버로 전송하는 STR_REQ_MSG (SRM)와 스트리밍 서버가 클라이언트들을 제어하기 위한 STR_CON_MSG (SCM)와 같은 새로운 제어 메시지들을 제안하고 이들을 활용하여 프로토콜을 설계하였다. 구현한 XC 시스템을 활용한 다양한 성능 측정 결과에 따르면, XC 스트리밍 시스템은 기존 스트리밍 시스템 대비 네트워크 대역폭 소모량을 평균적으로 8.6% 그리고 최대 약 25%까지 줄일 수 있다. 또한, 스트리밍 서비스의 중단 확률은 약 76%까지 낮아진다.

Distributed Video Compressive Sensing Reconstruction by Adaptive PCA Sparse Basis and Nonlocal Similarity

  • Wu, Minghu;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권8호
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    • pp.2851-2865
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    • 2014
  • To improve the rate-distortion performance of distributed video compressive sensing (DVCS), the adaptive sparse basis and nonlocal similarity of video are proposed to jointly reconstruct the video signal in this paper. Due to the lack of motion information between frames and the appearance of some noises in the reference frames, the sparse dictionary, which is constructed using the examples directly extracted from the reference frames, has already not better obtained the sparse representation of the interpolated block. This paper proposes a method to construct the sparse dictionary. Firstly, the example-based data matrix is constructed by using the motion information between frames, and then the principle components analysis (PCA) is used to compute some significant principle components of data matrix. Finally, the sparse dictionary is constructed by these significant principle components. The merit of the proposed sparse dictionary is that it can not only adaptively change in terms of the spatial-temporal characteristics, but also has ability to suppress noises. Besides, considering that the sparse priors cannot preserve the edges and textures of video frames well, the nonlocal similarity regularization term has also been introduced into reconstruction model. Experimental results show that the proposed algorithm can improve the objective and subjective quality of video frame, and achieve the better rate-distortion performance of DVCS system at the cost of a certain computational complexity.

비디오 복사방지를 위한 새로운 특징들의 성능평가 (Performance Evaluation of New Signatures for Video Copy Detection)

  • 현기호
    • 대한전자공학회논문지SP
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    • 제40권1호
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    • pp.96-102
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    • 2003
  • 비디오 복사 방지(video copy detection)는 기존의 워터마킹 방법과 반대의 개념으로, 비디오 스트림에 독특한 패턴을 첨가하는 워터마킹에 비해, 비디오 복사 방지 기법은 비디오의 복사판을 검출하기 위해 패턴을 첨가하지 않고 비디오의 내용 기반 특징(content-based signature)을 비교한다. 기존의 일반적인 내용 기반 복사 방지방법은 이미지 정합을 사용하였으나, 본 논문은 비디오 복사방지를 위해 가능한 두 가지의 새로운 순서정합(sequence matching) 알고리즘을 제안하고, 기존의 방법 중 칼라 정합 방법과 성능을 비교 분석하였다. 모션, 명암도와 칼라 기반 특징을 복사 방지 관점에서 비교하고, 영화클립에 대해 실험한 결과를 제시한다.

Energy Cognitive Dynamic Adaptive Streaming over HTTP

  • Kim, Seohyang;Oh, Hayoung;Kim, Chongkwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권6호
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    • pp.2144-2159
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    • 2015
  • CISCO VNI predicted an average annual growth rate of 66% for mobile video traffic between 2014 and 2019 and accordingly much academic research related to video streaming has been initiated. In video streaming, Adaptive Bitrate (ABR) is a streaming technique in which a source video is stored on a server at variable encoding rates and each streaming user requests the most appropriate video encoding rate considering their channel capacity. However, these days, ABR related studies are only focusing on real-time rate adaptation omitting energy efficiency though it is one of the most important requirement for mobile devices, which may cause dissatisfaction for streaming users. In this paper, we propose an energy efficient prefetching based dynamic adaptive streaming technique by considering the limited characteristics of the batteries used in mobile devices, in order to reduce the energy waste and provide a similar level of service in terms of the average video rate compared to the latest ABR streaming technique which does not consider the energy consumption. The simulation results is showing that our proposed scheme saves 65~68% of energy at the average global mobile download speed compared to the latest high performance ABR algorithm while providing similar rate adaptation performance.

다중 네트워크에서의 동영상 전송을 위한 이동 단말 장치의 설계 및 구현 (Design and Implementation of a Mobile Terminal Device for Video Transmission in Multiple Networks)

  • 김종헌;이동수
    • 한국ITS학회 논문지
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    • 제12권2호
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    • pp.38-44
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    • 2013
  • 본 논문에서는 무선 다중 접속 기술을 이용하여 1080i 해상도와 최대 30fps 프레임레이트를 갖는 휴대용 동영상 전송 장치를 설계 및 제작하였다. 이 장치의 영상획득 지연시간은 16us이며 지터는 평균 21ms이다. 이 장치는 다양한 통신망에 선택적으로 접속이 가능하도록 설계하였으며 전송 시험을 위하여 서버와 관제를 위한 뷰어를 구현하였다. LTE망을 이용한 전송실험의 경우, 3Mbps 전송 시 211ms 지연시간을 타나냈으며 인말새트 위성망을 이용한 실험에서는 265kbps 전송 시 1fps 프레임레이트로 렌더링되는 것을 확인하였다.

Unequal Loss Protection Using Layer-Based Recovery Rate (ULP-LRR) for Robust Scalable Video Streaming over Wireless Networks

  • Quan, Shan Guo;Ha, Hojin;Ran, Rong
    • Journal of information and communication convergence engineering
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    • 제14권4호
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    • pp.240-245
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    • 2016
  • Scalable video streaming over wireless networks has many challenges. The most significant challenge is related to packet loss. To overcome this problem, in this paper, we propose an unequal loss protection (ULP) method using a new forward error correction (FEC) mechanism for robust scalable video streaming over wireless networks. For an efficient FEC assignment considering video quality, we first introduce a simple and efficient performance metric, the layer-based recovery rate (LRR), for quantifying the unequal error propagation effects of the temporal and quality layers on the basis of packet losses. LRR is based on the unequal importance in both the temporal and the quality layers of a hierarchical scalable video coding structure. Then, the proposed ULP-LRR method assigns an appropriate number of FEC packets on the basis of the LRR to protect the video layers against packet lossy network environments. Compared with conventional ULP algorithms, the proposed ULP-LRR algorithm demonstrates a higher performance for various error-prone wireless channel statuses.

Performance Comparison of HEVC and H.264/AVC Standards in Broadcasting Environments

  • Dissanayake, Maheshi B.;Abeyrathna, Dilanga L.B.
    • Journal of Information Processing Systems
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    • 제11권3호
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    • pp.483-494
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    • 2015
  • High Efficiency Video Coding (HEVC) is the most recent video codec standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of this newly introduced standard is for catering to high-resolution video in low bandwidth environments with a higher compression ratio. This paper provides a performance comparison between HEVC and H.264/AVC video compression standards in terms of objective quality, delay, and complexity in the broadcasting environment. The experimental investigation was carried out using six test sequences in the random access configuration of the HEVC test model (HM), the HEVC reference software. This was also carried out in similar configuration settings of the Joint Scalable Video Module (JSVM), the official scalable H.264/AVC reference implementation, running on a single layer mode. According to the results obtained, the HM achieves more than double the compression ratio compared to that of JSVM and delivers the same video quality at half the bitrate. Yet, the HM encodes two times slower (at most) than JSVM. Hence, it can be concluded that the application scenarios of HM and JSVM should be judiciously selected considering the availability of system resources. For instance, HM is not suitable for low delay applications, but it can be used effectively in low bandwidth environments.

Improving User Satisfaction in Adaptive Multicast Video

  • de Amorim, Marcelo Dias;Duarte, Otto Carlos M.B.;Pujolle, Guy
    • Journal of Communications and Networks
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    • 제4권3호
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    • pp.221-229
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    • 2002
  • Adaptability is the most promising feature to be applied in future robust multimedia applications. In this paper, we propose the Direct Algorithm to improve the degree of satisfaction at heterogeneous receivers in multi-layered multicast video environments. The algorithm relies on a mechanism that dynamically controls the rates of the video layers and is based on feedback control packets sent by the receivers. The algorithm also addresses scalability issues by implementing a merging procedure at intermediate nodes in order to avoid packet implosion at the source in the case of large multicast groups. The proposed scheme is optimized to achieve high global video quality and reduced bandwidth requirements. We also propose the Direct Algorithm with a virtual number of layers. The virtual layering scheme induces intermediate nodes to keep extra states of the multicast session, which reduces the video degradation for all the receivers. The results show that the proposed scheme leads to improved global video quality at heterogeneous receivers with no cost of extra bandwidth.

Stochastic Non-linear Hashing for Near-Duplicate Video Retrieval using Deep Feature applicable to Large-scale Datasets

  • Byun, Sung-Woo;Lee, Seok-Pil
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권8호
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    • pp.4300-4314
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    • 2019
  • With the development of video-related applications, media content has increased dramatically through applications. There is a substantial amount of near-duplicate videos (NDVs) among Internet videos, thus NDVR is important for eliminating near-duplicates from web video searches. This paper proposes a novel NDVR system that supports large-scale retrieval and contributes to the efficient and accurate retrieval performance. For this, we extracted keyframes from each video at regular intervals and then extracted both commonly used features (LBP and HSV) and new image features from each keyframe. A recent study introduced a new image feature that can provide more robust information than existing features even if there are geometric changes to and complex editing of images. We convert a vector set that consists of the extracted features to binary code through a set of hash functions so that the similarity comparison can be more efficient as similar videos are more likely to map into the same buckets. Lastly, we calculate similarity to search for NDVs; we examine the effectiveness of the NDVR system and compare this against previous NDVR systems using the public video collections CC_WEB_VIDEO. The proposed NDVR system's performance is very promising compared to previous NDVR systems.

Suboptimal video coding for machines method based on selective activation of in-loop filter

  • Ayoung Kim;Eun-Vin An;Soon-heung Jung;Hyon-Gon Choo;Jeongil Seo;Kwang-deok Seo
    • ETRI Journal
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    • 제46권3호
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    • pp.538-549
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    • 2024
  • A conventional codec aims to increase the compression efficiency for transmission and storage while maintaining video quality. However, as the number of platforms using machine vision rapidly increases, a codec that increases the compression efficiency and maintains the accuracy of machine vision tasks must be devised. Hence, the Moving Picture Experts Group created a standardization process for video coding for machines (VCM) to reduce bitrates while maintaining the accuracy of machine vision tasks. In particular, in-loop filters have been developed for improving the subjective quality and machine vision task accuracy. However, the high computational complexity of in-loop filters limits the development of a high-performance VCM architecture. We analyze the effect of an in-loop filter on the VCM performance and propose a suboptimal VCM method based on the selective activation of in-loop filters. The proposed method reduces the computation time for video coding by approximately 5% when using the enhanced compression model and 2% when employing a Versatile Video Coding test model while maintaining the machine vision accuracy and compression efficiency of the VCM architecture.