Automatic segmentation and summarization for videos taken with smart glasses
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4910-8
Abstract: 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,… read more here.
Keywords: segmentation; videos taken; automatic segmentation; taken smart ... See more keywords
D-MmT: A concise decoder-only multi-modal transformer for abstractive summarization in videos
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DOI: 10.1016/j.neucom.2021.04.072
Abstract: Abstract Multi-modal abstractive summarization for videos is an emerging task, aiming to integrate multi-modal and multi-source inputs (video, audio transcript) into a compressed textual summary. Although recent multi-encoder-decoder models on this task have shown promising… read more here.
Keywords: multi modal; summarization videos; abstractive summarization; concise ... See more keywords
Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder
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DOI: 10.1109/access.2018.2872685
Abstract: This paper addresses the problem of generating meaningful summaries from unedited user videos. A framework based on spatiotemporal and high-level features is proposed in this paper to detect the key-shots after segmenting the videos into… read more here.
Keywords: video; time; sparse autoencoder; videos based ... See more keywords