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Results overview: Found 2 records in 0.03 seconds.
Articles, 1 records found
Research literature, 1 records found
Articles 1 records found  
1.
23 p, 1.5 MB A multiple secret image embedding in dynamic ROI keypoints based on hybrid Speeded Up Scale Invariant Robust Features (h-SUSIRF) algorithm / Kumar, Suganthi (Vellore Institute of Technology (Índia)) ; Soundrapandiyan, Rajkumar (Vellore Institute of Technology (Índia))
This paper presents a robust and high-capacity video steganography framework using a hybrid Speeded Up Scale Invariant Robust Features (h-SUSIRF) keypoints detection algorithm. There are two main objectives in this method: (1) determining the dynamic Region of Interest (ROI) keypoints in video scenes and (2) embedding the appropriate secret data into the identified regions. [...]
2022 - 10.5565/rev/elcvia.1470
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 21 Núm. 1 (2022) , p. 78-100 (Regular Issue)  
Detailed record - Creative Commons

Research literature 1 records found  
1.
9 p, 1.1 MB Mètodes d'eficiència aplicats a les xarxes neuronals / Bosch Sepulveda, David ; Serrat Gual, Joan, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
L'objectiu d'aquest projecte es basa en estudiar l'aplicació de mètodes d'eficiència sobre les xarxes neurals, els quals busquen rebaixar els requeriments computacionals necessaris per a processar una xarxa. [...]
The aim of the study relies on the research of the of known efficiency methods applied on a neural network that reduces the computational requirements for processing a network. Specifically, the pruning of connections and the quantization of the parameters. [...]
El objetivo de este trabajo se basa en estudiar la aplicación de métodos de eficiencia sobre las redes neuronales, los cuales buscan rebajar los requerimientos computacionales necesarios para processar una red. [...]
2018-02-13
Enginyeria Informàtica [958]  
Detailed record - Creative Commons

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