Results 41 to 50 of about 1,253,494 (58)

Deepfake Video Detection Using Recurrent Neural Networks

Advanced Video and Signal Based Surveillance, 2018
In recent months a machine learning based free software tool has made it easy to create believable face swaps in videos that leaves few traces of manipulation, in what are known as "deepfake" videos.
David Guera, E. Delp
semanticscholar   +1 more source

Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding

IEEE transactions on circuits and systems for video technology (Print), 2020
Quadtree with nested multi-type tree (QTMT) partition structure is an efficient improvement in versatile video coding (VVC) over the quadtree (QT) structure in the advanced high-efficiency video coding (HEVC) standard. With the exception of the recursive
Hao Yang, Liquan Shen, Xinchao Dong, Qing Ding, P. An, G. Jiang   +5 more
semanticscholar   +1 more source

Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks

IEEE transactions on circuits and systems for video technology (Print), 2021
Long-term Video Question Answering plays an essential role in visual information retrieval, which aims at generating natural language answers to discretionary free-form questions about the referenced long-term video.
Ting Yu, Jun Yu, Zhou Yu, Qingming Huang, Q. Tian   +4 more
semanticscholar   +1 more source

VSS-Net: Visual Semantic Self-Mining Network for Video Summarization

IEEE transactions on circuits and systems for video technology (Print)
Video summarization, with the target to detect valuable segments given untrimmed videos, is a meaningful yet understudied topic. Previous methods primarily consider inter-frame and inter-shot temporal dependencies, which might be insufficient to pinpoint
Yunzuo Zhang, Yameng Liu, Weili Kang, Ran Tao   +3 more
semanticscholar   +1 more source

A Novel Key-Frames Selection Framework for Comprehensive Video Summarization

IEEE transactions on circuits and systems for video technology (Print), 2020
Video summarization (VSUMM) has become a popular method in processing massive video data. The key point of VSUMM is to select the key frames to represent the effective contents of a video sequence.
Cheng Huang, Hongmei Wang
semanticscholar   +1 more source

Multimodal Local-Global Attention Network for Affective Video Content Analysis

IEEE transactions on circuits and systems for video technology (Print), 2021
With the rapid development of video distribution and broadcasting, affective video content analysis has attracted a lot of research and development activities recently.
Yangjun Ou, Zhenzhong Chen, Feng Wu
semanticscholar   +1 more source

Attention-Driven Loss for Anomaly Detection in Video Surveillance

IEEE transactions on circuits and systems for video technology (Print), 2020
Recent video anomaly detection methods focus on reconstructing or predicting frames. Under this umbrella, the long-standing inter-class data-imbalance problem resorts to the imbalance between foreground and stationary background objects in video anomaly ...
Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, X. Yang   +5 more
semanticscholar   +1 more source

Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution

IEEE transactions on circuits and systems for video technology (Print), 2020
Video super-resolution (SR) aims to reconstruct the corresponding high-resolution (HR) frames from consecutive low-resolution (LR) frames. It is crucial for video SR to harness both inter-frame temporal correlations and intra-frame spatial correlations ...
Peng Yi, Zhongyuan Wang, Kui Jiang, Z. Shao, Jiayi Ma   +4 more
semanticscholar   +1 more source

Event-Centric Hierarchical Representation for Dense Video Captioning

IEEE transactions on circuits and systems for video technology (Print), 2020
Dense video captioning aims to localize and describe multiple events in untrimmed videos, which is a challenging task that draws attention recently in computer vision.
Teng Wang, Huicheng Zheng, Mingjing Yu, Qi Tian, Haifeng Hu   +4 more
semanticscholar   +1 more source

Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video

IEEE transactions on circuits and systems for video technology (Print), 2020
Real-time detection of inshore ships plays an essential role in the efficient monitoring and management of maritime traffic and transportation for port management.
Z. Shao, Linggang Wang, Zhongyuan Wang, Wan Du, Wenjing Wu   +4 more
semanticscholar   +1 more source