Video abstraction: A systematic review and classification
BT Truong, S Venkatesh - ACM transactions on multimedia computing …, 2007 - dl.acm.org
The demand for various multimedia applications is rapidly increasing due to the recent
advance in the computing and network infrastructure, together with the widespread use of …
advance in the computing and network infrastructure, together with the widespread use of …
A survey on visual content-based video indexing and retrieval
Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …
interest of researchers worldwide. This paper offers a tutorial and an overview of the …
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 …
Towards scalable summarization of consumer videos via sparse dictionary selection
The rapid growth of consumer videos requires an effective and efficient content
summarization method to provide a user-friendly way to manage and browse the huge …
summarization method to provide a user-friendly way to manage and browse the huge …
An innovative algorithm for key frame extraction in video summarization
Video summarization, aimed at reducing the amount of data that must be examined in order
to retrieve the information desired from information in a video, is an essential task in video …
to retrieve the information desired from information in a video, is an essential task in video …
Robust video hashing based on radial projections of key frames
C De Roover, C De Vleeschouwer… - … on Signal processing, 2005 - ieeexplore.ieee.org
Robust signal hashing defines a feature vector that characterizes the signal, independently
of" nonsignificant" distortions of its content. When dealing with images, the considered …
of" nonsignificant" distortions of its content. When dealing with images, the considered …
USCL: pretraining deep ultrasound image diagnosis model through video contrastive representation learning
Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models
use pretrained backbones (eg, ImageNet) for better model generalization. However, the …
use pretrained backbones (eg, ImageNet) for better model generalization. However, the …
Multi fault laser attacks on protected CRT-RSA
E Trichina, R Korkikyan - … on Fault Diagnosis and Tolerance in …, 2010 - ieeexplore.ieee.org
Since the first publication of a successful practical two-fault attack on protected CRT-RSA
surprisingly little attention was given by the research community to an ensuing new …
surprisingly little attention was given by the research community to an ensuing new …
A low-latency object detection algorithm for the edge devices of IoV systems
The emergence of edge computing (EC) and intelligent vision-based driver assistance
system is of great significance for the prospective development of Internet of Vehicle (IoV) …
system is of great significance for the prospective development of Internet of Vehicle (IoV) …