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AudioVisual Video Summarization | Papers With Code
https://paperswithcode.com/paper/audiovisual-video-summarization
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the performance of various computer vision tasks. However, in video summarization, existing approaches just exploit the visual information while neglect the audio information.
AudioVisual Video Summarization | IEEE Journals & …
https://ieeexplore.ieee.org/document/9585294
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the performance of various computer vision tasks. However, in video summarization, most existing approaches just exploit the visual information while neglecting the audio information. In this …
[2105.07667] AudioVisual Video Summarization - arXiv
https://arxiv.org/abs/2105.07667
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the performance of various computer vision tasks. However, in video summarization, existing approaches just exploit the visual information while neglect the audio information. In this …
Auto-Summarization of Audio-Video Presentations ...
https://www.microsoft.com/en-us/research/publication/auto-summarization-of-audio-video-presentations/
We evaluate three techniques for automatic creation of summaries for online audio-video presentations. These techniques exploit information in the audio signal (e.g., pitch and pause information), knowledge of slide transition points in the presentation, and information about access patterns of previous users.
Auto-Summarization of Audio-Video Presentations
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/paper-99.pdf
Keywords: Video summarization, video on-demand, streaming media, corporate training, digital library, user log analysis, user evaluation 1 INTRODUCTION Digital multimedia content is becoming pervasive both on corporate Intranets and on the Internet. For example, many corporations are making audio and video of internal
(PDF) An audio-video summarization scheme based on …
https://www.researchgate.net/publication/4220450_An_audio-video_summarization_scheme_based_on_audio_and_video_analysis
Currently, video skimming and video summarization techniques can reduce the temporal representation of a given video. However, most of these techniques do not include audio in …
AUTOMATIC CONSUMER VIDEO SUMMARIZATION BY AUDIO …
https://www.ee.columbia.edu/~wjiang/references/jiangicme11.pdf
Video summarization is a mechanism to produce a condensed or summarized version of the original video by analyzing the underlying content in the entire video stream. Being an im- portant tool to facilitate video browsing and search, video summarization has been largely explored in previous litera- tures.
video-summarization · GitHub Topics · GitHub
https://github.com/topics/video-summarization
Video Summarization - Summarized a video lecture and converted it to a slideshow using Speech-to-text, Keyword extraction and OpenCV Shot detection. python opencv json cplusplus google-cloud video-summarization speech-recognition summarization shell-script speech-to-text keyword-extraction shotdetection google-speech-recognition
Video Summarization: Techniques and Classification ...
https://link.springer.com/chapter/10.1007%2F978-3-642-33564-8_1
Processing these huge chunks of videos demands plenty of resources like time, man power, and hardware storage etc. Video summarization plays an important role in this context. It helps in efficient storage, quick browsing, and retrieval of large collection of video data without losing important aspects.
Multi-modal Summarization for Asynchronous Collection of ...
https://aclanthology.org/D17-1114.pdf
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video Haoran Li 1;2 , Junnan Zhu 1;2 , Cong Ma 1;2 , Jiajun Zhang 1;2 and Chengqing Zong 1;2;3
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