A review on video summarization techniques

P Meena, H Kumar, SK Yadav - Engineering Applications of Artificial …, 2023‏ - Elsevier
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …

Query-dependent video representation for moment retrieval and highlight detection

WJ Moon, S Hyun, SU Park, D Park… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
Recently, video moment retrieval and highlight detection (MR/HD) are being spotlighted as
the demand for video understanding is drastically increased. The key objective of MR/HD is …

Summarization of egocentric videos: A comprehensive survey

AG Del Molino, C Tan, JH Lim… - IEEE Transactions on …, 2016‏ - ieeexplore.ieee.org
The introduction of wearable video cameras (eg, GoPro) in the consumer market has
promoted video life-logging, motivating users to generate large amounts of video data. This …

A survey of deep learning-based object detection

L Jiao, F Zhang, F Liu, S Yang, L Li, Z Feng… - IEEE access, 2019‏ - ieeexplore.ieee.org
Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Real-world anomaly detection in surveillance videos

W Sultani, C Chen, M Shah - Proceedings of the IEEE …, 2018‏ - openaccess.thecvf.com
Surveillance videos are able to capture a variety of realistic anomalies. In this paper, we
propose to learn anomalies by exploiting both normal and anomalous videos. To avoid …

Deep multi-scale pyramidal features network for supervised video summarization

H Khan, T Hussain, SU Khan, ZA Khan… - Expert Systems with …, 2024‏ - Elsevier
Video data are witnessing exponential growth, and extracting summarized information is
challenging. It is always necessary to reduce the load of video traffic for the efficient video …

Localizing moments in video with natural language

L Anne Hendricks, O Wang… - Proceedings of the …, 2017‏ - openaccess.thecvf.com
We consider retrieving a specific temporal segment, or moment, from a video given a natural
language text description. Methods designed to retrieve whole video clips with natural …

End-to-end temporal action detection with 1b parameters across 1000 frames

S Liu, CL Zhang, C Zhao… - Proceedings of the IEEE …, 2024‏ - openaccess.thecvf.com
Recently temporal action detection (TAD) has seen significant performance improvement
with end-to-end training. However due to the memory bottleneck only models with limited …