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РецензированоEN2025

VIDEO DATA FOR TRANSMISSION IN TV CHANNELS

Elnur Norov · Shaxzod Tashmetov

Молодые ученые · 22-25 · 2025

Аннотация

Intelligent analysis of video data encompasses a variety of techniques, including machine learning, deep learning, computer vision, and real-time processing. These methods are designed to automate the detection, categorization, and enhancement of video content, ensuring seamless transmission and high-quality viewing experiences. For instance, deep learning models, such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, are extensively used for content recognition and anomaly detection in video streams[1].

Доказательный фрагмент

«Intelligent analysis of video data encompasses a variety of techniques, including machine learning, deep learning, computer vision, and real-time processing.»

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Демо-превью

Intelligent analysis of video data encompasses a variety of techniques, including machine learning, deep learning, computer vision, and real-time processing. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
Журнал
Страна
Узбекистан
Ключевые слова
deep learning, video, detection, content, networks
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