A review on video summarization techniques

P Meena, H Kumar, SK Yadav - Engineering Applications of Artificial …, 2023 - Elsevier
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …

Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos

A Deliege, A Cioppa, S Giancola… - Proceedings of the …, 2021 - openaccess.thecvf.com
Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

[PDF][PDF] Video summarization techniques: a review

HBU Haq, M Asif, MB Ahmad - Int. J. Sci. Technol. Res, 2020 - researchgate.net
With the advancement of technology, the enormous amount of video data is generated on
the daily basis. The processing of such huge chunky videos requires high storage, high …

Automatic curation of sports highlights using multimodal excitement features

M Merler, KNC Mac, D Joshi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The production of sports highlight packages summarizing a game's most exciting moments
is an essential task for broadcast media. Yet, it requires labor-intensive video editing. We …

Soccerdb: A large-scale database for comprehensive video understanding

Y Jiang, K Cui, L Chen, C Wang, C Xu - Proceedings of the 3rd …, 2020 - dl.acm.org
Soccer videos can serve as a perfect research object for video understanding because
soccer games are played under well-defined rules while complex and intriguing enough for …

Affective audio-visual words and latent topic driving model for realizing movie affective scene classification

G Irie, T Satou, A Kojima, T Yamasaki… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper presents a novel method for movie affective scene classification that outputs the
emotion (in the form of labels) that the scene is likely to arouse in viewers. Since the affective …

Leveraging contextual cues for generating basketball highlights

V Bettadapura, C Pantofaru, I Essa - Proceedings of the 24th ACM …, 2016 - dl.acm.org
The massive growth of sports videos has resulted in a need for automatic generation of
sports highlights that are comparable in quality to the hand-edited highlights produced by …

Replay and key-events detection for sports video summarization using confined elliptical local ternary patterns and extreme learning machine

A Javed, A Irtaza, Y Khaliq, H Malik, MT Mahmood - Applied Intelligence, 2019 - Springer
Sports broadcasters generate enormous amount of video content viewed all over the world.
To capture the user interests in the rebroadcasted content, the sports videos are …

Multimodal learning model based on video–audio–chat feature fusion for detecting e-sports highlights

GM Park, HI Hyun, HY Kwon - Applied Soft Computing, 2022 - Elsevier
The explosive growth of video content and social media has led to the necessity of indexing
and efficient processing of video content [1]. To accelerate them, video highlighting has …

Shot classification and replay detection for sports video summarization

A Javed, A Ali Khan - Frontiers of Information Technology & Electronic …, 2022 - Springer
Automated analysis of sports video summarization is challenging due to variations in
cameras, replay speed, illumination conditions, editing effects, game structure, genre, etc. To …