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Unsupervised video summarization with adversarial lstm networks
This paper addresses the problem of unsupervised video summarization, formulated as
selecting a sparse subset of video frames that optimally represent the input video. Our key …
selecting a sparse subset of video frames that optimally represent the input video. Our key …
Video summarization with long short-term memory
We propose a novel supervised learning technique for summarizing videos by automatically
selecting keyframes or key subshots. Casting the task as a structured prediction problem …
selecting keyframes or key subshots. Casting the task as a structured prediction problem …
Diverse sequential subset selection for supervised video summarization
Video summarization is a challenging problem with great application potential. Whereas
prior approaches, largely unsupervised in nature, focus on sampling useful frames and …
prior approaches, largely unsupervised in nature, focus on sampling useful frames and …
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
The fast evolution of digital video has brought many new multimedia applications and, as a
consequence, has increased the amount of research into new technologies that aim at …
consequence, has increased the amount of research into new technologies that aim at …
Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …
led to the creation of huge amount of multimedia information such as, video, audio, and text …
A novel key-frames selection framework for comprehensive video summarization
C Huang, H Wang - IEEE Transactions on Circuits and Systems …, 2019 - ieeexplore.ieee.org
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 …
data. The key point of VSUMM is to select the key frames to represent the effective contents …
Summary transfer: Exemplar-based subset selection for video summarization
Video summarization has unprecedented importance to help us digest, browse, and search
today's ever-growing video collections. We propose a novel subset selection technique that …
today's ever-growing video collections. We propose a novel subset selection technique that …
Key-frame extraction techniques: A review
MK Asha Paul, J Kavitha… - Recent Patents on …, 2018 - ingentaconnect.com
Background: The massive database of videos is growing day by day in this era. Analyzing
such huge data is always a time-consuming process. The effective use of video content …
such huge data is always a time-consuming process. The effective use of video content …
Digital twins and artificial intelligence: As pillars of personalized learning models
Digital twins and artificial intelligence: as pillars of personalized learning models Page 1 98
COMMUNICATIONS OF THE ACM | APRIL 2022 | VOL. 65 | NO. 4 contributed articles IMA GE B …
COMMUNICATIONS OF THE ACM | APRIL 2022 | VOL. 65 | NO. 4 contributed articles IMA GE B …
Secure video communication using firefly optimization and visual cryptography
In recent years, we face an increasing interest in protecting multimedia data and copyrights
due to the high exchange of information. Attackers are trying to get confidential information …
due to the high exchange of information. Attackers are trying to get confidential information …