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Balanced bitrate control of multiple videos in transcoding for multi-view service
Ganzorig Gankhuyag,Yoonsik Choe 한국인터넷방송통신학회 2015 International Journal of Internet, Broadcasting an Vol.7 No.2
In this paper, a balanced bitrate control in transcoding process based on video complexity measure for multi-view system which simultaneously shows multiple channels or video contents in single screen, is proposed. In order to consider the total quality of multiple video streams, the proposed algorithm reduces the complexity of multiple video stream and video quality differences at the same time by controlling bitrates of each stream by weighting when they are stitched for single screen. For the measure of complexity and quality differences between video streams, two different data: histogram of macroblock type and bitrate for each stream are used. The experimental result indicates that proposed algorithm decreases fluctuation of quality difference between videos in the multi-view system.
High efficient semantic segmentation for autonomous vehicle
Ganzorig Gankhuyag,Changyu Park(박창규),KyoungWon Min(민경원) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
The Image segmentation algorithm has significantly improved by deep learning. However, high accuracy trades off huge computational costs and is therefore not suitable for the limited resource of autonomous driving vehicle. We propose a deep learning framework for image segmentation that is efficient enough for an autonomous driving vehicle environment while maintaining high accuracy and speed. Our proposed work achieves high segmentation accuracy at Cityscape public dataset and our private test dataset. At the same time, the frame rate is high enough for deployment in autonomous vehicles.
Balanced bitrate control of multiple videos in transcoding for multi-view service
Gankhuyag, Ganzorig,Choe, Yoonsik The Institute of Internet 2015 International Journal of Internet, Broadcasting an Vol.7 No.2
In this paper, a balanced bitrate control in transcoding process based on video complexity measure for multi-view system which simultaneously shows multiple channels or video contents in single screen, is proposed. In order to consider the total quality of multiple video streams, the proposed algorithm reduces the complexity of multiple video stream and video quality differences at the same time by controlling bitrates of each stream by weighting when they are stitched for single screen. For the measure of complexity and quality differences between video streams, two different data: histogram of macroblock type and bitrate for each stream are used. The experimental result indicates that proposed algorithm decreases fluctuation of quality difference between videos in the multi-view system.