Unsupervised video summarization via deep reinforcement learning with shot-level semantics

Y Yuan, J Zhang - IEEE Transactions on Circuits and Systems …, 2022 - ieeexplore.ieee.org
Video summarization is one of the critical techniques in video retrieval, video browsing, and
management. It is still a challenging research task due to user subjectivity, excessive …

Video big data analytics in the cloud: A reference architecture, survey, opportunities, and open research issues

A Alam, I Ullah, YK Lee - IEEE Access, 2020 - ieeexplore.ieee.org
The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …

Multi-annotation attention model for video summarization

H Terbouche, M Morel, M Rodriguez… - Proceedings of the …, 2023 - openaccess.thecvf.com
In the last decade, the supply of online video content exploded. Automatic video
summarization has become necessary to allow content consumers to briefly glance at the …

Joint filter combination-based central difference feature extraction and attention-enhanced Dense-Res2Block network for short-utterance speaker recognition

Y Zi, S Xiong - Expert Systems With Applications, 2023 - Elsevier
Speech authentication in smart services typically involves short utterances. However, due to
the short duration of these utterances (eg less than 3 s) and the limited enrolment and/or test …

Patch based video summarization with block sparse representation

S Mei, M Ma, S Wan, J Hou, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, sparse representation has been successfully utilized for video
summarization (VS). However, most of the sparse representation based VS methods …

Correlation graph convolutional network for pedestrian attribute recognition

H Fan, HM Hu, S Liu, W Lu, S Pu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The pedestrian attribute recognition aims at generating the structured description of
pedestrian, which plays an important role in surveillance. However, it is difficult to achieve …

Pedestrian attribute recognition based on multiple time steps attention

Z Ji, Z Hu, E He, J Han, Y Pang - Pattern Recognition Letters, 2020 - Elsevier
Abstract Pedestrian Attribute Recognition (PAR) plays an important role in intelligent video
surveillance. This paper tackles two severe challenges in it ie, complex relations between …

Recurrent generative adversarial networks for unsupervised WCE video summarization

L Lan, C Ye - Knowledge-Based Systems, 2021 - Elsevier
Wireless capsule endoscopy (WCE) produces amounts of redundant images in one
examination, which is very laborious and time-consuming for a physician to review these. It …

Mhms: Multimodal hierarchical multimedia summarization

J Qiu, J Zhu, M Xu, F Dernoncourt, T Bui… - arXiv preprint arXiv …, 2022 - arxiv.org
Multimedia summarization with multimodal output can play an essential role in real-world
applications, ie, automatically generating cover images and titles for news articles or …

Towards automated ethogramming: Cognitively-inspired event segmentation for streaming wildlife video monitoring

R Mounir, A Shahabaz, R Gula, J Theuerkauf… - International journal of …, 2023 - Springer
Advances in visual perceptual tasks have been mainly driven by the amount, and types, of
annotations of large-scale datasets. Researchers have focused on fully-supervised settings …