トップ研究者を探す超高精細単視点多眼映像向け高効率符号化・高認識率映像システムの構築

超高精細単視点多眼映像向け高効率符号化・高認識率映像システムの構築

KAKEN 科学研究費助成事業データベース で見る
研究課題番号 KAKENHI-PROJECT-22K17913
研究種目 若手研究
研究分野
研究機関 徳島大学
代表研究者 片山 貴文
研究期間 開始年月日 2022/4/1
研究期間 終了年度 2024
研究ステータス 交付 (2022/4/1)
配分額(合計) 4,420,000 (直接経費 :3,400,000、間接経費 :1,020,000)
配分額(履歴) 2024年度:780,000 (直接経費 :600,000、間接経費 :180,000)
2023年度:1,430,000 (直接経費 :1,100,000、間接経費 :330,000)
2022年度:2,210,000 (直接経費 :1,700,000、間接経費 :510,000)
キーワード 動画像符号化
機械学習
単視点多眼映像符号
Versatile Video Coding

研究成果

[学会発表] An Adaptive Selection Algorithm of Screen Content Coding Tools for Educational Video System

Tanaka Shuichiro, Takafumi Katayama, Tian Song and Takashi Shimamoto 2023

[学会発表] Semi-Supervised Learning Based De-Raining Method for UAV

Sawada Takuya, Takafumi Katayama, Tian Song and Takashi Shimamoto 2023

[学会発表] Object Detection in Curved Mirror with Multi-Cameras from Single Viewpoint Video

Chihaya Asai, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] High Efficiency Dataset Generation for Semantic Video Segmentation on Road Intersection

Wataru Nagai, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] A Novel Video Coding Framework with GAN-based Face Generation for Videoconferencing

Sohma Nagahara, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] High Efficiency Image Correction for Low Power Underwater Drone

Kazuto Shindo, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] YOLOX based Underwater Object Detection for Inshore Aquaculture

Imada Atsuki, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] Deep Learning-Based Quality Enhancement Algorithms for Background of Video

Kei Kobayashi, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[雑誌論文] Domain Adaptation through Photorealistic Enhanced Images for Semantic Segmentation

Katayama Takafumi、Song Tian、Jiang Xiantao、Leu Jenq-Shiou、Shimamoto Takashi 2022

[学会発表] Object Recognition based Self-Position Estimation for Underwater Robots

Tamura Yuma, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022

[学会発表] High-Accuracy Object Detection Using Multi-view Video at Road Intersections

Ihara Urumu, Takafumi Katayama, Tian Song and Takashi Shimamoto 2022