Automatic segmentation and summarization for videos taken with smart glasses

Yen Chia Chiu, Li Yi Liu, Tsai-Pei Wang*

*此作品的通信作者

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

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.

原文English
頁(從 - 到)12679-12699
頁數21
期刊Multimedia Tools and Applications
77
發行號10
DOIs
出版狀態Published - 1 五月 2018

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