Event-based media processing and analysis: A survey of the literature

C Tzelepis, Z Ma, V Mezaris, B Ionescu… - Image and Vision …, 2016 - Elsevier
Research on event-based processing and analysis of media is receiving an increasing
attention from the scientific community due to its relevance for an abundance of applications …

Social media based event summarization by user–text–image co-clustering

X Qian, M Li, Y Ren, S Jiang - Knowledge-Based Systems, 2019 - Elsevier
Microblogging services have changed the way that people exchange information. There will
generate a large number of data on the web once popular events or emergencies occur …

+ TV4E: Interactive Television as a support to push information about social services to the elderly

T Silva, J Abreu, M Antunes, P Almeida, V Silva… - Procedia Computer …, 2016 - Elsevier
Ageing is a global phenomenon that in the last decades has led to a significant inversion of
the ageing pyramid in the developed societies. This fact has been introducing deep changes …

Soccer video event detection based on deep learning

J Yu, A Lei, Y Hu - … Modeling: 25th International Conference, MMM 2019 …, 2019 - Springer
Automatically identifying the most interesting content in a long video remains a challenging
task. Event detection is an important aspect of soccer game research. In this paper, we …

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 …

Exploiting web images for video highlight detection with triplet deep ranking

H Kim, T Mei, H Byun, T Yao - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
Highlight detection from videos has been widely studied due to the fast growth of video
contents. However, most existing approaches to highlight detection, either handcraft feature …

Movie summarization using bullet screen comments

S Sun, F Wang, L He - Multimedia Tools and Applications, 2018 - Springer
Automatic movie summarization helps users to skim a movie in an efficient way. However, it
is challenging because it requires the computer to automatically understand the movie …

Important scene detection of baseball videos via time-lag aware deep multiset canonical correlation maximization

K Hirasawa, K Maeda, T Ogawa… - … Conference on Image …, 2020 - ieeexplore.ieee.org
This paper presents a new important scene detection method of baseball videos based on
correlation maximization between heterogeneous modalities via time-lag aware deep …

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis

K Hirasawa, K Maeda, T Ogawa, M Haseyama - IEEE Access, 2021 - ieeexplore.ieee.org
A novel method for detection of important scenes in baseball videos based on correlation
maximization between heterogeneous modalities via bidirectional time lag aware deep …

[HTML][HTML] 基于CNN-BiGRU 的足球视频片段分类方法

苏航, 张胜男 - Computer Science and Application, 2023 - hanspub.org
基于深度学习的视频分类是体育视频研究的一个重要方向. 针对目前视频事件类型识别率低的
问题, 本文提出了一种基于CNN-BiGRU 网络的足球视频事件分类方法. 该方法首先利用 …