Dynamic Bandwidth and Carrier Allocation for Video Broadcast/Multicast Over Multi-Cell Environments

IEEE Trans. on Broadcast.

et al. 2016

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Various types of multimedia services have become prominent over the last few years leading to difficulty in providing high-quality broadcast multimedia services in certain shadowing regions without resource management in accordance with specific channel adaptation. In order to overcome this difficulty, return channel design has been actively discussed in broadcasting standards for broadcasting systems. Context-aware multimedia services have been developed by adapting radio resources according to service type. In order to forward this goal, we propose a beamforming technique to optimize spatial resources in order to maximize visual quality for video broadcasting services. In order to enhance the video broadcast service, we derive expected visual information (EVI) that quantifies the visual quality of video and adapt the EVI into multiple-input and multiple-output beamforming techniques in a video broadcast system. In order to guarantee the proportional fairness of broadcast users, we propose a novel beam steering algorithm using the log-EVI sum maximization, and compare it to the traditional channel-quality-based max-min problem. The beamsteering algorithm is performed iteratively while switching the bases, which constructs a beam steering weight vector domain. In the simulation, we demonstrate that the proposed algorithm has less computational complexity than conventional algorithms, and the visual quality of the proposed algorithm is enhanced over that of the traditional quasi-optimal max-min fairness algorithm.Index Terms-Multiple-input and multiple-output (MIMO) systems, multimedia broadcast systems, beam steering, expected visual information (EVI), non-convex problem.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

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Optimal Beam Steering for Maximal Visual Quality Over a Multimedia Broadcasting System

IEEE Trans. on Broadcast.

et al. 2016

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“…Coding [27] 기법을 도입하여, 획득한 영상 정보를 Low Frequency를 가진 Base Layer와 화질 향상을 위한 정 보를 포함한 Enhancement Layer로 구분 한다 [8,9] . 그 술에 필수적이다 [29,30] .…”

Section: 응용 계층 (Application Layer)unclassified

Study on Low Delay and Adaptive Video Transmission for a Surveillance System in Visual Sensor Networks

The Journal of Korea Information and Communications Society

et al. 2014

Even if it is important to transmit high rate multimedia information without any transmission errors for surveillance systems, it is difficult to achieve error-free transmission due to infra-less adhoc networks. In order to reduce the transmission errors furthermore, additional signal overheads or retransmission of signals should be required, but they may lead to transmission delay. This paper represents a study on low delay and adaptive video transmission for the unmanned surveillance systems by developing system protocols. In addition, we introduce an efficient and adaptive control algorithm using system parameters for exploiting unmanned surveillance system properly over multi-channels.

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“…In recent years, hand-held devices such as smart-phones, tablets, iPads and Kindle Fires have been leading the rapid spread of various forms of multimedia entertainment through audio, video and e-book/comics [1] [2]. The development of portable devices continues to intensify the demand for readable and visual contents instead of using hard-copy versions of books.…”

Section: Introductionmentioning

confidence: 99%

Low-complexity and robust comic fingerprint method for comic identification

Choi

Signal Processing: Image Communication

et al. 2015

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