C2F: An effective coarse-to-fine network for video summarization

Ye Jin; Xiaoyan Tian; Zhao Zhang; Peng Liu; Xianglong Tang

doi:10.1016/j.imavis.2024.104962

ScienceGate Book Chapters

JOURNAL ARTICLE

C2F: An effective coarse-to-fine network for video summarization

Ye Jin Xiaoyan Tian Zhao Zhang Peng Liu Xianglong Tang

Year: 2024 Journal: Image and Vision Computing Vol: 144 Pages: 104962-104962 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2024.104962

Get Full-Text PDF Get Analytical Report

Keywords:

Automatic summarization Computer science Benchmark (surveying) Relation (database) Representation (politics) Task (project management) Semantics (computer science) Key (lock) Sequence (biology) Artificial intelligence Data mining Pattern recognition (psychology)

Metrics

Cited By

8.48

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Multimedia Communication and Technology

Social Sciences → Social Sciences → Sociology and Political Science

C2F: An effective coarse-to-fine network for video summarization

Metrics

Citation History

Topics

Related Documents

From Coarse to Fine: Hierarchical Structure-Aware Video Summarization

From Coarse to Fine: Hierarchical Structure-aware Video Summarization

CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization

C2F-CFN: Coarse-to-Fine ClothFlow Network for High-Fidelity Virtual Try-On

C2F-Net: Coarse-to-Fine Multidrone Collaborative Perception Network for Object Trajectory Prediction