App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Emotion recognition in user-generated video based on dual-path fusion network

Liu Yujie1,2
Dong Zhenyang1,2
1. Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao Shandong 266580, China
2. Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software), Qingdao Shandong 266580, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0513

Abstract

Facing challenges from dynamic content, diverse themes, and sparse emotion distributions in user-generated videos, this paper developed a dual-path fusion network (DPFNet) . The core of DPFNet was a dual-path encoding structure with attention mechanisms. The main path modeled temporal dependencies of visual embeddings, while an auxiliary path introduced emotional auxiliary text to reconstruct and constrain visual features for adaptation to diverse themes. A dual-path decoder then processed both paths in parallel to capture emotion-relevant visual content. Finally, a dynamic gating mechanism adaptively fused the decoded features to suppress task-irrelevant interference. Experiments on two public datasets show that DPFNet achieves classification accuracies of 60.2% and 63.7%, respectively. DPFNet demonstrates more efficient recognition using only visual modality input while maintaining comparable classification performance, significantly reducing model complexity and computational costs.

Foundation Support

国家重点研发计划项目(2019YFF03018000)
国家自然科学基金项目(61379106)
山东省自然科学基金项目(ZR2013FM036,ZR2015FM011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0513
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-22] Accepted Paper

Cite This Article

刘玉杰, 董振阳. 基于双通路融合网络的用户视频情感识别 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0513. (Liu Yujie, Dong Zhenyang. Emotion recognition in user-generated video based on dual-path fusion network [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0513. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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