Video benchmarks of human action datasets: a review
T Singh, DK Vishwakarma - Artificial Intelligence Review, 2019 - Springer
Vision-based Human activity recognition is becoming a trendy area of research due to its
wide application such as security and surveillance, human–computer interactions, patients …
wide application such as security and surveillance, human–computer interactions, patients …
A comprehensive survey and mathematical insights towards video summarization
Video Summarization is a technique to reduce the original raw video into a short video
summary. Video summarization automates the task of acquiring key frames/segments from …
summary. Video summarization automates the task of acquiring key frames/segments from …
A novel key-frames selection framework for comprehensive video summarization
C Huang, H Wang - IEEE Transactions on Circuits and Systems …, 2019 - ieeexplore.ieee.org
Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …
data. The key point of VSUMM is to select the key frames to represent the effective contents …
High-level multiple-UAV cinematography tools for covering outdoor events
Camera-equipped unmanned aerial vehicles (UAVs), or “drones,” are a recent addition to
standard audiovisual shooting technologies. As drone cinematography is expected to further …
standard audiovisual shooting technologies. As drone cinematography is expected to further …
Efficient CNN based summarization of surveillance videos for resource-constrained devices
The widespread usage of surveillance cameras in smart cities has resulted in a gigantic
volume of video data whose indexing, retrieval and management is a challenging issue …
volume of video data whose indexing, retrieval and management is a challenging issue …
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 …
VSS-Net: visual semantic self-mining network for video summarization
Y Zhang, Y Liu, W Kang, R Tao - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
Video summarization, with the target to detect valuable segments given untrimmed videos, is
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …
Query-aware sparse coding for web multi-video summarization
Given the explosive growth of online videos, it is becoming increasingly important to relieve
the tedious work of browsing and managing the video content of interest. Video …
the tedious work of browsing and managing the video content of interest. Video …
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 …