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 …
Video joint modelling based on hierarchical transformer for co-summarization
Video summarization aims to automatically generate a summary (storyboard or video skim)
of a video, which can facilitate large-scale video retrieval and browsing. Most of the existing …
of a video, which can facilitate large-scale video retrieval and browsing. Most of the existing …
Video summarization with a dual-path attentive network
With the explosive growth of videos captured everyday, how to efficiently extract useful
information from videos has become a more and more important problem. As one of the …
information from videos has become a more and more important problem. As one of the …
A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network
A huge number of cameras records scenes everywhere, generating enormous bulks of
videos. Processing these huge masses of videos and detection of abnormal object activities …
videos. Processing these huge masses of videos and detection of abnormal object activities …
A quadruple diffusion convolutional recurrent network for human motion prediction
Recurrent neural network (RNN) has become popular for human motion prediction thanks to
its ability to capture temporal dependencies. However, it has limited capacity in modeling the …
its ability to capture temporal dependencies. However, it has limited capacity in modeling the …
Dtr-gan: Dilated temporal relational adversarial network for video summarization
Y Zhang, M Kampffmeyer, X Zhao, M Tan - Proceedings of the ACM …, 2019 - dl.acm.org
Video summarization targets the challenge of finding the smallest subset of frames, while
still conveying the whole story of a given video. Thus it is of great significance for large-scale …
still conveying the whole story of a given video. Thus it is of great significance for large-scale …
Autonomous visual perception for unmanned surface vehicle navigation in an unknown environment
W Zhan, C Xiao, Y Wen, C Zhou, H Yuan, S Xiu… - Sensors, 2019 - mdpi.com
Robust detection and recognition of water surfaces are critical for autonomous navigation of
unmanned surface vehicles (USVs), since any none-water region is likely an obstacle …
unmanned surface vehicles (USVs), since any none-water region is likely an obstacle …
Interp-sum: Unsupervised video summarization with piecewise linear interpolation
UN Yoon, MD Hong, GS Jo - Sensors, 2021 - mdpi.com
This paper addresses the problem of unsupervised video summarization. Video
summarization helps people browse large-scale videos easily with a summary from the …
summarization helps people browse large-scale videos easily with a summary from the …
V2xum-llm: Cross-modal video summarization with temporal prompt instruction tuning
Video summarization aims to create short, accurate, and cohesive summaries of longer
videos. Despite the existence of various video summarization datasets, a notable limitation …
videos. Despite the existence of various video summarization datasets, a notable limitation …
LTC-SUM: Lightweight client-driven personalized video summarization framework using 2D CNN
This paper proposes a novel lightweight thumbnail container-based summarization (LTC-
SUM) framework for full feature-length videos. This framework generates a personalized …
SUM) framework for full feature-length videos. This framework generates a personalized …