A New Ontology Convolutional Neural Network for Extorting Essential Elements in Video Mining

Nowadays, people use video compression for recreating video without affecting the quality with reduced size. In recent years, the number of video files has increased in social media, smartphones and video recording tools. It is not easy to search and retrieve specific content-based videos. With the...

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Veröffentlicht in:	Journal of signal processing systems Jg. 95; H. 6; S. 735 - 749
Hauptverfasser:	Ganesh, R. Karthik, Kanthavel, R., Dhaya, R., Robinson, Y. Harold, Julie, E. Golden, Kumar, Raghvendra, Duong, Phet, Thong, Pham Huy, Son, Le Hoang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial neural networks Circuits and Systems Classification Clips Computer Imaging Data analysis Electrical Engineering Engineering Image Processing and Computer Vision Marketing Neural networks Pattern Recognition Pattern Recognition and Graphics Semantics Signal,Image and Speech Processing Video communication Video compression Video recorders Vision Temporal Position Video compression; Convolutional Neural Network Ontology Model Semantic contents
ISSN:	1939-8018, 1939-8115
Online-Zugang:	Volltext
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