年単位の研究成果
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- 43 同様のプロファイル
Video streaming
Engineering & Materials Science
Throughput
Engineering & Materials Science
Wireless networks
Engineering & Materials Science
Quality of service
Engineering & Materials Science
Communication
Engineering & Materials Science
Navigation
Engineering & Materials Science
Image quality
Engineering & Materials Science
HTTP
Engineering & Materials Science
ネットワーク
最近の共同研究。丸をクリックして詳細を確認しましょう。
研究成果 2012 2019
A highly accurate transportation mode recognition using mobile communication quality
Kawakami, W., Kanai, K., Wei, B. & Katto, J., 2019 4 1, ： : IEICE Transactions on Communications. E102B, 4, p. 741-750 10 p.研究成果: Article
Communication
Accelerometers
Sensors
Subways
Bicycles
Light-weight video coding based on perceptual video quality for live streaming
Sakamoto, Y., Saika, S., Takeuchi, M., Nagashima, T., Cheng, Z., Kanai, K., Katto, J., Wei, K., Zengwei, J. & Wei, X., 2019 1 4, Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018. Institute of Electrical and Electronics Engineers Inc., p. 139-142 4 p. 8603274. (Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018).研究成果: Conference contribution
Image coding
Video streaming
Extrapolation
Internet
Costs
TRUST: A TCP Throughput Prediction Method in Mobile Networks
Wei, B., Kawakami, W., Kanai, K., Katto, J. & Wang, S., 2019 2 20, 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8647390. (2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings).研究成果: Conference contribution
Mobile Networks
Wireless networks
Throughput
Prediction
predictions
A fast no-reference screen content image quality prediction using convolutional neural networks
Cheng, Z., Takeuchi, M., Kanai, K. & Katto, J., 2018 11 28, 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018. Institute of Electrical and Electronics Engineers Inc., 8551572研究成果: Conference contribution
Image quality
Neural networks
Learning systems
Image processing
Agglomeration
A fully-blind and fast image quality predictor with convolutional neural networks
Cheng, Z., Takeuchi, M., Kanai, K. & Katto, J., 2018 9 1, ： : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E101A, 9, p. 1557-1566 10 p.研究成果: Article
Image Quality Assessment
Image Quality
Image quality
Predictors
Neural Networks