Combine method and algorithms of object detection in video transmission over optical network
Saida Safibullaevna BeknazarovaTashkent University of Information Technologies named after Muhammad Al- Khwarizmi (Uzbekistan)Mexriban JaumitbaevaTashkent University of Information Technologies named after Muhammad Al- Khwarizmi (Uzbekistan)Yunus AbdullayevTashkent University of Information Technologies named after Muhammad Al- Khwarizmi (Uzbekistan)Dilnoza Baxtiyarovna BaymuhamedovaTashkent University of Information Technologies named after Muhammad Al- Khwarizmi (Uzbekistan)Samandar Ravshanbekovich ZaitovTashkent University of Information Technologies named after Muhammad Al- Khwarizmi (Uzbekistan)
2025
ABI
Abstract
The article discusses the problems of video transmission over an optical network at 5G speed and describes a combined Haar method cascade and convolutional neural network (CNN) for image processing, improving the quality of data transmission. The Haar Cascade and CNN method are an effective way of image processing that provides effective detection and selection of key objects, which helps to reduce data redundancy and optimize the transmission process. The purpose of the study is to improve the accuracy of object recognition in the frame, reduce the amount of transmitted information and improve the quality of the video stream under high network load conditions based on the proposed method.
Topics
Identifiers
Citations and references
Cited by 00 references
Metrics — AkademScholar · Coming soon