標題: Automatic segmentation and summarization for videos taken with smart glasses
作者: Chiu, Yen-Chia
Liu, Li-Yi
Wang, Tsaipei
資訊工程學系
Department of Computer Science
關鍵字: Google Glass;Smart glasses;Egocentric video;Video abstraction;Video segmentation;Video summarization;Video diary
公開日期: 1-五月-2018
摘要: This paper discusses the topic of automatic segmentation and extraction of important segments of videos taken with Google Glasses. Using the information from both the video images and additional sensor data that are recorded concurrently, we devise methods that automatically divide the video into coherent segments and estimate the importance of the each segment. Such information then enables automatic generation of video summary that contains only the important segments. The features used include colors, image details, motions, and speeches. We then train multi-layer perceptrons for the two tasks (segmentation and importance estimation) according to human annotations. We also present a systematic evaluation procedure that compares the automatic segmentation and importance estimation results with those given by multiple users and demonstrate the effectiveness of our approach.
URI: http://dx.doi.org/10.1007/s11042-017-4910-8
http://hdl.handle.net/11536/145037
ISSN: 1380-7501
DOI: 10.1007/s11042-017-4910-8
期刊: MULTIMEDIA TOOLS AND APPLICATIONS
Volume: 77
起始頁: 12679
結束頁: 12699
顯示於類別:期刊論文