6   Artículos

 
en línea
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang    
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Md. Reduanul Haque and Ferdous Sohel    
Eggplant is a popular vegetable crop. Eggplant yields can be affected by various diseases. Automatic detection and recognition of diseases is an important step toward improving crop yields. In this paper, we used a two-stream deep fusion architecture, em... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Sandeli Priyanwada Kasthuri Arachchi, Timothy K. Shih and Noorkholis Luthfil Hakim    
Video classification is an essential process for analyzing the pervasive semantic information of video content in computer vision. Traditional hand-crafted features are insufficient when classifying complex video information due to the similarity of visu... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiao Wu and Qingge Ji    
Modeling spatiotemporal representations is one of the most essential yet challenging issues in video action recognition. Existing methods lack the capacity to accurately model either the correlations between spatial and temporal features or the global te... ver más
Revista: Algorithms    Formato: Electrónico

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