Video summarization via block sparse dictionary selection
The explosive growth of video data has raised new challenges for many video processing
tasks such as video browsing and retrieval, hence, effective and efficient video …
tasks such as video browsing and retrieval, hence, effective and efficient video …
Self-supervised learning to detect key frames in videos
Detecting key frames in videos is a common problem in many applications such as video
classification, action recognition and video summarization. These tasks can be performed …
classification, action recognition and video summarization. These tasks can be performed …
Keyframe extraction techniques: A review
BO Sadiq, B Muhammad, MN Abdullahi… - … -Journal of Electrical …, 2020 - elektrika.utm.my
Video is an audiovisual data that comprises of large number of frames. Â Analyzing and
processing such large amount of data is difficult to many applications. Â Therefore, there is …
processing such large amount of data is difficult to many applications. Â Therefore, there is …
SSET: a dataset for shot segmentation, event detection, player tracking in soccer videos
Soccer video analysis is the focus of sports video research as it receives widespread
attention around the world. However, the lack of soccer datasets hinders the rapid …
attention around the world. However, the lack of soccer datasets hinders the rapid …
Similarity based block sparse subset selection for video summarization
Video summarization (VS) is generally formulated as a subset selection problem where a set
of representative keyframes or key segments is selected from an entire video frame set …
of representative keyframes or key segments is selected from an entire video frame set …
Multi-modal music information retrieval: augmenting audio-analysis with visual computing for improved music video analysis
A Schindler - arXiv preprint arXiv:2002.00251, 2020 - arxiv.org
This thesis combines audio-analysis with computer vision to approach Music Information
Retrieval (MIR) tasks from a multi-modal perspective. This thesis focuses on the information …
Retrieval (MIR) tasks from a multi-modal perspective. This thesis focuses on the information …
A novel hybrid keypoint detection algorithm for gradual shot boundary detection
S Karpagavalli, V Balamurugan… - … on Emerging Trends in …, 2020 - ieeexplore.ieee.org
In the recent period, video summarization plays a vital role in the video retrieval process
especially in the video surveillance system. The summarization process comprises of …
especially in the video surveillance system. The summarization process comprises of …
Web objectionable video recognition based on deep multi-instance learning with representative prototypes selection
X Ding, B Li, Y Li, W Guo, Y Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To protect underage people from accessing objectionable videos in the Internet, an effective
objectionable video recognition algorithm is necessary for web filtering. Recently, the multi …
objectionable video recognition algorithm is necessary for web filtering. Recently, the multi …
Summarynet: a multi-stage deep learning model for automatic video summarisation
Z Jappie, D Torpey, T Celik - arXiv preprint arXiv:2002.09424, 2020 - arxiv.org
Video summarisation can be posed as the task of extracting important parts of a video in
order to create an informative summary of what occurred in the video. In this paper we …
order to create an informative summary of what occurred in the video. In this paper we …
敏感视频判别性特征投影识别算法.
丁昕苗， 郭文， 吕文恬 - Journal of Computer-Aided Design & …, 2020 - search.ebscohost.com
网络的快速发展在给人们生活带来很多便利的同时, 也存在着令人反感的敏感内容,
如恐怖暴力视频等, 这些内容严重影响着青少年的身心健康. 因此, 一种有效的敏感视频识别算法 …
如恐怖暴力视频等, 这些内容严重影响着青少年的身心健康. 因此, 一种有效的敏感视频识别算法 …