Zero-shot event detection via event-adaptive concept relevance mining
Zero-shot complex event detection has been an emerging task in coping with the scarcity of
labeled training videos in practice. Aiming to progress beyond the state-of-the-art zero-shot …
labeled training videos in practice. Aiming to progress beyond the state-of-the-art zero-shot …
Usage of task and data parallelism for finding the lower boundary vectors in a stochastic-flow network
M Forghani-elahabad, E Francesquini - Reliability Engineering & System …, 2023 - Elsevier
In a stochastic-flow network, a minimal system state vector under which the maximum flow of
the network from a source node to a destination node is equal to d is called a lower …
the network from a source node to a destination node is equal to d is called a lower …
An improved capacity data hiding technique based on image interpolation
Data hiding in multimedia objects such as text, images, audio and video clips is a technique
that has been widely used to achieve security for applications requiring copyright protection …
that has been widely used to achieve security for applications requiring copyright protection …
Sequence alignment using machine learning-based needleman–wunsch algorithm
Biological pairwise sequence alignment can be used as a method for arranging two
biological sequence characters to identify regions of similarity. This operation has elicited …
biological sequence characters to identify regions of similarity. This operation has elicited …
A reversible data hiding algorithm based on bidirectional difference expansion
W Wang - Multimedia Tools and Applications, 2020 - Springer
After the extraction of hidden data, reversible data hiding (RDH) algorithms are able to
completely recover the original image without any error. For the past few years, a number of …
completely recover the original image without any error. For the past few years, a number of …
A sensitive network jitter measurement for covert timing channels over interactive traffic
Q Zhang, H Gong, X Zhang, C Liang, Y Tan - Multimedia Tools and …, 2019 - Springer
In order to reflect the network transmission quality, some network state feedback
mechanisms are provided in the network protocol. In the RTP, the jitter of the packet …
mechanisms are provided in the network protocol. In the RTP, the jitter of the packet …
DCNR: deep cube CNN with random forest for hyperspectral image classification
Hyperspectral Image (HSI) classification is one of the fundamental tasks in the field of
remote sensing data analysis. CNN (Convolutional Neural Network) has been proven to be …
remote sensing data analysis. CNN (Convolutional Neural Network) has been proven to be …
Efficient and secure cipher scheme for multimedia contents
The impact of confidentiality and privacy breaches are more pronounced when dealing with
multimedia contents. One of the obvious techniques to counter these threats is the use of …
multimedia contents. One of the obvious techniques to counter these threats is the use of …
Big dermatological data service for precise and immediate diagnosis by utilizing pre-trained learning models
Artificial intelligence (AI) approaches have been shown to be effective in classifying skin
diseases and outperforming dermatologists in diagnosis. Using big data as a dermatological …
diseases and outperforming dermatologists in diagnosis. Using big data as a dermatological …
A scalable parallel algorithm for global sequence alignment with customizable scoring scheme
Sequence alignment is a critical computational problem in various domains, including
genomics, proteomics, and natural language processing. The Needleman‐Wunsch (NW) …
genomics, proteomics, and natural language processing. The Needleman‐Wunsch (NW) …