Multi-view video summarization using bipartite matching constrained optimum-path forest clustering
SK Kuanar, KB Ranga… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The task of multi-view video summarization is to efficiently represent the most significant
information from a set of videos captured for a certain period of time by multiple cameras …
information from a set of videos captured for a certain period of time by multiple cameras …
Graph-based structural difference analysis for video summarization
Keyframe extraction is an effective way to achieve video summarization. More recent studies
using deep learning networks are heavily dependent on massive historical datasets for …
using deep learning networks are heavily dependent on massive historical datasets for …
VISCOM: A robust video summarization approach using color co-occurrence matrices
MV Mussel Cirne, H Pedrini - Multimedia Tools and Applications, 2018 - Springer
Video summarization techniques have allowed the content analysis of large volumes of
digital video sequences of different categories, such as movies, documentaries, lectures …
digital video sequences of different categories, such as movies, documentaries, lectures …
A comprehensive study of automatic video summarization techniques
D Gupta, A Sharma - Artificial Intelligence Review, 2023 - Springer
Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …
by including meaningful frames or segments while eliminating redundant information. The …
Learning deep C3D features for soccer video event detection
Soccer video event identification has been an interesting task in research community during
past few decades. Numerous machine learning techniques and C2D (Convolution 2 …
past few decades. Numerous machine learning techniques and C2D (Convolution 2 …
Automated image and video quality assessment for computational video editing
K Lomotin, I Makarov - Analysis of Images, Social Networks and Texts: 9th …, 2021 - Springer
We study non-reference image and video quality assessment methods, which are of great
importance for computational video editing. The object of our work is image quality …
importance for computational video editing. The object of our work is image quality …
Multi-keyframe abstraction from videos
This paper presents a method for abstracting multi-keyframe from video datasets. Existing
video abstraction methods focused on simple view videos, and the results will be …
video abstraction methods focused on simple view videos, and the results will be …
An adaptive video shot segmentation scheme based on dual-detection model
Efficient segmentation of the video shots is the important and foundational work for the
research of video content retrieval and analysis. A video shot segmentation scheme based …
research of video content retrieval and analysis. A video shot segmentation scheme based …
Comparative study of block matching algorithm and dual tree complex wavelet transform for shot detection in videos
Various methods of automatic shot boundary detection have been proposed and claimed to
perform reliably. Although the detection of edits is fundamental to any kind of video analysis …
perform reliably. Although the detection of edits is fundamental to any kind of video analysis …
Adaptive multiview graph difference analysis for video summarization
Adapting detection to different shot types is a significant challenge for video summarization
methods based on shot boundary detection. In our recent work, a new graph model was …
methods based on shot boundary detection. In our recent work, a new graph model was …