Big Data Image and Video Analysis Using Deep Learning

被引：0

作者：

Rao, Chunchu Srinivasa ^{[1
]}

Naramala, Venkateswara Rao ^{[2
]}

Sitharamulu, V. ^{[3
]}

Devi, Jujjuri. Rama ^{[4
]}

Paladugu, Rama Krishna ^{[5
]}

机构：

[1] RVR & JC Coll Engn, CSE Data Sci Dept, Guntur, Andhra Pradesh, India

[2] RVR & JC Coll Engn, CSE AL & ML Dept, Guntur, Andhra Pradesh, India

[3] Inst Aeronaut Engn IARE, CSE Dept, Hyderabad, Telangana, India

[4] PVP Siddhartha Inst Technol, CSE Dept, Vijayawada, Andhra Pradesh, India

[5] RVR & JC Coll Engn, CSE Dept, Guntur, Andhra Pradesh, India

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2022年 / 22卷 / 04期

关键词：

Machine Learning; DCNN; Streaming; Deep Learning;

D O I：

10.22937/IJCSNS.2022.22.4.99

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Thousands of closed-circuit television cameras are linked to the internet, according to IDC (International Data Corporation), supplying 65 percent of all streaming data, which is greater than data from transactions, medical records, entertainment, and social media combined. Streaming data is information generated in real time by thousands of data sources, which typically deliver data in small batches. This video and image stream contains useful information about traffic, weather, and the environment, among other things. Machine Learning takes data and turns it into a programme that can complete a task. Deep learning has demonstrated to be far more promising than the current system. Deep learning's Deep Convolution Neural Network (DCNN) is suitable for a wide range of image and video processing workloads.

引用

页码：824 / 828

页数：5

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