ENHANCING FRAGMENT-BASED VIDEO RETRIEVAL THROUGH THE INTEGRATION OF FEEDFORWARD NEURAL NETWORKS
P Pobereiko, N Melnykova - European Science, 2024 - desymp.promonograph.org
European Science, 2024•desymp.promonograph.org
… In the present study, a cutting-edge video search mechanism leveraging deep
convolutional neural networks (DCNN) has been introduced, which markedly accelerates
the processing of visual content while ensuring the precision of search outcomes for video
files [19]. The system's architecture is delineated … This investigation delves into the
enhancement of video search functionalities, with a focus on leveraging Feed-Forward
Neural Networks (FFNN) and Deep Convolutional Neural Networks (DCNN). It identifies the …
convolutional neural networks (DCNN) has been introduced, which markedly accelerates
the processing of visual content while ensuring the precision of search outcomes for video
files [19]. The system's architecture is delineated … This investigation delves into the
enhancement of video search functionalities, with a focus on leveraging Feed-Forward
Neural Networks (FFNN) and Deep Convolutional Neural Networks (DCNN). It identifies the …
Abstract
This paper delves into the evolving landscape of video search technology, tackling the intricate challenges posed by the exponential increase in video data. It highlights the critical need for advanced analytical tools to efficiently manage and retrieve v
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