Knowledge-Enhanced Mobile Video Broadcasting Framework With Cloud Support

Huang, Xin-Lin; Wu, Jun; Hu, Fei

doi:10.1109/tcsvt.2016.2555758

Cited by 19 publications

(18 citation statements)

References 15 publications

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“…1291 Figure 6 demonstrates MER values at each test point against distance to the transmitter. Acceptable MER value is 20-22 dB [9] and 100% of the data tested is greater than this figure, hence it fulfills the requirement. This means that the quality of audio and visual is good enough at the 100 tested locations.…”

Section: Results and Analysissupporting

confidence: 65%

“…Figure 5 shows that 92% of field strength readings are above minimum level, which is 56(dBµV/m) [9]. This result is considered good because the implementation of DVB-T2 in Malaysia is very new and most of the facility are still in research stage.…”

Section: Results and Analysismentioning

confidence: 86%

“…The next parameter is the field strength and the MER, Teodor B. et al [9] states that Field Strength, MER 30 000 citizens minimum must be minimum 85dbuV/m and others must be more than 56dBuV/m than MER must be greater than 20-22dB. This guideline is suitable in order to have a baseline reading for field strength and MER.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

Ya’acob

Tajudin

Yusof

et al. 2019

IJEECS

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DVB-T2 (Digital Video Broadcasting – Second Generation Terrestrial) is one of the latest technical standards being developed by the DVB Project for DTT (Digital Terrestrial Television). It is also known as digital broadcasting trough terrestrial system since 2006 and is an extension of the DVB-T system as a second generation program to improve efficiency of the total system. It is important to perform a research on the performance of DVB-T2 because Malaysia has launched the free-to-air digital TV project since 2016 hence there is a need to know how well the signal is being received by viewers. This research focuses on a DVB-T2 transmission process which involve the transmission from Menara Kuala Lumpur transmitter to receivers located at 100 different locations. The performance of DVB-T2 can be determined by measuring the field strength, MER (Module Error Ratio) and BERaLDPC (Bit Error Rate after Low Density Parity Check decoder), and then a comparison between DVB-T and DVB-T2 systems can be made. Equipments involved in the measurement are indoor antenna, distribution amplifier, waveform monitor, field strength meter, DVB-T2 decoder and TV set as the receiver. Results are recorded in Microsoft Excel and analyzed using MATLAB software. The result of the measurement shows92% of the test points had higher reading than the baseline value which means better reception of digital TV signal is delivered to the location.Comparison between DVB-T and DVB-T2 performance shows that field strength of the DVB-T2 system is slightly higher by 1.5 % – 3.8 % from DVB-TMeasurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

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Section: Results and Analysissupporting

confidence: 65%

Section: Results and Analysismentioning

confidence: 86%

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Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

Ya’acob

Tajudin

Yusof

et al. 2019

IJEECS

View full text Add to dashboard Cite

show abstract

“…Saliency-based [77] Discarding high frequency chunks [6,84], Shannon-Kotelnikov mapping [85], Compressive sensing [86][87][88][89][90][91][92][93], Data-assisted delivery [96][97][98][99][100] Analog channel coding [101,102], MCast [104] Block-wise compressive sensing [107], Multi-scale block-wise compressive sensing [108], adaptive block-wise compressive sensing [109] Four-parameter fitting [111], log-linear fitting [112], L-shape chunk division [113],…”

Section: Implement On Platformsmentioning

confidence: 99%

Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming

Fujihashi¹,

Koike‐Akino²,

Watanabe³

2021

Preprint

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The increasing demand for video streaming services is the key driver of modern wireless and mobile communications. For robust and high-quality delivery of video content over wireless and mobile networks, the main challenge is sending image and video signals to single and multiple users over unstable and diverse channel environments. To this end, many studies have designed digital-based video delivery schemes, which mainly consist of a sequence of digital-based coding and transmission schemes. Although digital-based schemes perform well when the channel characteristics are known in advance, significant quality degradation, known as cliff and leveling effects, often occurs owing to the fluctuating channel characteristics. To prevent cliff and leveling effects irrespective of the channel characteristics of each user, a new paradigm for wireless and mobile video streaming has been proposed. Soft delivery schemes skip the digital operations of quantization and entropy and channel coding while directly mapping the power-assigned frequency-domain coefficients onto the transmission symbols. This modification is based on the fact that the pixel distortion due to communication noise is proportional to the magnitude of the noise, resulting in graceful quality improvement, wherein quality is improved gradually, according to the wireless channel quality without any cliff and leveling effects. Herein, we present a comprehensive summary of soft delivery schemes. First, we provide a brief introduction on wireless and mobile video streaming. Second, we discuss the issues associated with conventional digital-based video delivery schemes. Third, an overview of soft delivery is presented, and then the state of the art in soft delivery is summarized by considering energy compaction, power allocation, bandwidth utilization, and packet loss resilience. Finally, an excursion on the extensions needed for immersive content and future research directions are provided.

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“…The key idea of HDA is to integrate the SoftCast-like analog method into the conventional digital video coding frameworks, thus it could provide both the advantages of digital coding and analog coding. Furthermore, the SoftCast based scheme also has been employed into satellite remote-sensing image transmission [38] and cloud image/video transmission over wireless channels [39]. A novel network slice design is proposed in [40], which consists of a rateless source compression scheme and an analog-coded SoftCast scheme.…”

Section: Softcast-like Uncoded and Hybrid Visual Transmissionmentioning

confidence: 99%

Block DCT Based Optimization for Wireless SoftCast of Depth Map

et al. 2019

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With the recent emergence of naked-eye 3D mobile devices, the 3D video-based applications on the mobile terminal are showing great potential. However, the conventional transmission scheme based on separate source coding and channel coding may fail in the broadcast and mobile scenarios due to the drastic changes in wireless channel condition. Recently, an uncoded transmission scheme called SoftCast was introduced, which shows efficient performance for wireless 2D video transmission. However, it may not work well for 3D video wireless transmission, especially for the depth maps. Based on the piecewise smoothness of depth maps, we propose an uncoded wireless depth map transmission scheme, which incorporates three customized components of optimization into the SoftCast framework. First, compared with the framelevel discrete cosine transform (DCT) used in 2D video SoftCast, the mean removed block-based DCT is preferred as the decorrelation transform for depth maps to accommodate its piecewise smooth property, which also facilitates the following subsequent optimization. Second, view synthesis distortion-based chunk dropping is utilized for more efficient power allocation in the case of limited bandwidth, where the block DCT provides a better estimation for synthesis distortion. Third, inter-block DCT coefficients are rearranged to form chunks in terms of minimizing the intra-chunk variance, further enhancing the chunk-level power allocation efficiency. The experimental results demonstrate that the proposed scheme can provide superior performance than the state-of-the-art SoftCast methods while achieving graceful synthesis quality transition within a wide channel signal-to-noise ratio range.

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Knowledge-Enhanced Mobile Video Broadcasting Framework With Cloud Support

Cited by 19 publications

References 15 publications

Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming

Block DCT Based Optimization for Wireless SoftCast of Depth Map

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