[PDF][PDF] Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges.
Efficient multimedia event processing is a key enabler for real-time and complex decision
making in streaming media. The need for expressive queries to detect high-level …
making in streaming media. The need for expressive queries to detect high-level …
An NLP-guided ontology development and refinement approach to represent and query visual information
The ubiquitous presence of surveillance systems generates massive amounts of video data.
Storage and analysis of this data in real-time is a substantial challenge. There is huge …
Storage and analysis of this data in real-time is a substantial challenge. There is huge …
[PDF][PDF] Semantic web technologies for big data modeling from analytics perspective: A systematic literature review
The present study addresses research on the application of semantic technologies
(Semantic web technologies) to assist analysts in selecting, building, and explaining big …
(Semantic web technologies) to assist analysts in selecting, building, and explaining big …
Ontology-based detection and identification of complex event of illegal parking using SPARQL and description logic queries
Dynamic monitoring and management of traffic is a significant challenge which requires a
mobile surveillance system which is becoming feasible with the evolution of 5G and related …
mobile surveillance system which is becoming feasible with the evolution of 5G and related …
Sensored semantic annotation for traffic control based on knowledge inference in video
Images and videos in multimedia data are typical representation methods that include
various types of information, such as color, shape, texture, pattern, and other characteristics …
various types of information, such as color, shape, texture, pattern, and other characteristics …
AE SemRL: Learning Semantic Association Rules with Autoencoders
Association Rule Mining (ARM) is the task of learning associations among data features in
the form of logical rules. Mining association rules from high-dimensional numerical data, for …
the form of logical rules. Mining association rules from high-dimensional numerical data, for …
Abandoned Luggage Detection: An Ontology-based approach for unusual activity recognition
Analysis of video data generated by surveillance systems requires an efficient way to
represent, store, and retrieve for performing reasoning to identify unusual events. The …
represent, store, and retrieve for performing reasoning to identify unusual events. The …
Machine Learning-Based Context Space Theory
Situation awareness of human and artificial agents can be improved by the recognition and
adequate representation of real-life situations. The lack of easy-understandable, easy-to …
adequate representation of real-life situations. The lack of easy-understandable, easy-to …
Distributed Target Tracking in Sensor Networks by Consistency Algorithm and Semantic Moving Computing of Internet of Things
Y Wang, H Liu, J Zhou, Y Wan - IEEE Access, 2022 - ieeexplore.ieee.org
The target tracking algorithm of mobile wireless sensor networks involves target motion
trend prediction and subsequent node guidance. This study aims to solve the problems of …
trend prediction and subsequent node guidance. This study aims to solve the problems of …
A novel semantic representation approach for web documents using deep entity linking and multidocument support
Representing semantic web information in the form of existing formats like extensible mark‐
up language (XML), resource description framework (RDF) or web ontology language …
up language (XML), resource description framework (RDF) or web ontology language …