A Hybrid Framework for Event Detection Using Multi-modal Features

被引：0

作者：

Hassan, Ehtesham ^{[1
]}

Chaudhury, Santanu ^{[1
]}

Gopal, M. ^{[1
]}

Garg, Vikram ^{[1
]}

机构：

[1] IIT Delhi, Dept Elect Engg, Delhi, India

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS) | 2011年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents a novel approach for event detection in sports videos by topic based graphical model learning. The characteristics features defining various sport events are extracted by contextual grouping of low-level video and audio features using topic modeling. Event detection is performed by learning the structure of context based distribution of characteristic features by CRF based graphical model. Experimental evaluation of the proposed concept is presented on recorded video of Handball and Soccer game.

引用

页数：6

共 50 条

[21] Analysis of Malware Communities Using Multi-Modal Features
Cruickshank, Iain J.
Carley, Kathleen M.
[J]. IEEE ACCESS, 2020, 8 : 77435 - 77448
[22] MMRDF: An improved multitask multi-modal rumor detection framework
Jiang, Fangting
Liang, Gang
Yang, Jin
Chen, Liangyin
[J]. ELECTRONICS LETTERS, 2023, 59 (10)
[23] MULTIPHISH: MULTI-MODAL FEATURES FUSION NETWORKS FOR PHISHING DETECTION
Zhang, Lei
Zhang, Peng
Liu, Luchen
Tan, Jianlong
[J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 3520 - 3524
[24] Commercial detection in heterogeneous video streams using fused multi-modal and temporal features
Mizutani, M
Ebadollahi, S
Chang, SF
[J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 157 - 160
[25] Deep learning architectures for Parkinson's disease detection by using multi-modal features
Pahuja, Gunjan
Prasad, Bhanu
[J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 146
[26] Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs
Zhang, Dong
Xu, Chenchu
Li, Shuo
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2023, 221
[27] Modality and Event Adversarial Networks for Multi-Modal Fake News Detection
Wei, Pengfei
Wu, Fei
Sun, Ying
Zhou, Hong
Jing, Xiao-Yuan
[J]. IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 1382 - 1386
[28] An efficient deep learning-based video captioning framework using multi-modal features
Varma, Soumya
James, Dinesh Peter
[J]. EXPERT SYSTEMS, 2021,
[29] Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts
Wu, Shuang
Bondugula, Sravanthi
Luisier, Florian
Zhuang, Xiaodan
Natarajan, Pradeep
[J]. 2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, : 2665 - 2672
[30] Hidden Emotion Detection using Multi-modal Signals
Kim, Dae Ha
Song, Byung Cheol
[J]. EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21), 2021,

← 1 2 3 4 5 →