@techreport{oai:ipsj.ixsq.nii.ac.jp:00220078,
 author = {黒住, 隆行 and 芹澤, 優花 and 長谷川, 馨亮 and 深津, 真二 and Takayuki, Kurozumi and Yuka, Serizawa and Keisuke, Hasegawa and Shinji, Fukatsu},
 issue = {4},
 month = {Sep},
 note = {近年，コロナ禍の影響もありライブ配信イベントを自宅で視聴する機会が増えており，オンラインならでは娯楽のニーズが高まっている．我々は，自宅に居ながらもライブ会場へリモート観客の映像を届ける検討を進めている．本研究では，ライブ配信イベントを視聴する複数のリモート観客のカメラ映像から様々な要因の遅延を吸収して調和のとれた同期映像を生成する手法を提案する．ペンライトを振るリモート観客の映像のペアから遅延時間を推定する評価実験において，本提案の位相に着目した特徴抽出と時系列探索により遅延推定する手法は，高い精度で遅延時間を特定できた．これにより複数のリモート観客の同期映像を生成できる可能性を示した．, In recent years, due in part to the Corona Disaster, there has been an increase in the number of opportunities to watch live-streamed events from their homes, increasing the need for entertainment that is only possible online. We have been studying the possibility of delivering remote audience video to live events from the comfort of their homes. In this study, we propose a method to generate synchronized video images by absorbing delays caused by various factors from the camera video of multiple remote viewers watching a live-streamed event. In an evaluation experiment to estimate the delay time from pairs of videos of remote viewers waving penlights, the proposed method of delay estimation using feature extraction focused on the phase and time series search was able to identify the delay time with high accuracy. We showed that our method has the potential to generate synchronized video images of multiple remote audiences.},
 title = {ライブ配信イベントに参加する複数のリモート観客の映像同期の検討},
 year = {2022}
}