A Review on Computer Vision - Scene Classification Techniques

Aayushi A. Shah, Keyur Rana
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引用次数: 2

Abstract

In today's era, need for automatic response of machines on certain task has been prevalent. Humans want their life easier and automatic in every possible way. However, those tasks require better understanding by the machine to perform human like tasks. Tasks like classification, detection and localization are on high demand and dominant research area. These tasks fall into a domain called computer vision where computers by analyzing and understanding performs human like tasks. This domain provides the automatic inference by machines to make human life easier. In this paper, we focus on one of the difficult computer vision tasks called scene classification. Scene Classification deals with techniques that make machine intelligent and automated by processing given input say image. As machines are made automatic and intelligent to perform various tasks, Artificial Intelligence and Image processing comes into the picture. We study and analyze various approaches and methods by which such task can be handled easily and accurately. Furthermore, we compare all the approaches and find out the best approach to opt for this task.
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计算机视觉场景分类技术综述
在当今时代,对某些任务的机器自动响应的需求已经普遍存在。人类希望他们的生活在每一个可能的方式更轻松和自动化。然而,这些任务需要机器更好地理解才能执行类似人类的任务。分类、检测和定位等任务是高需求和主导的研究领域。这些任务属于计算机视觉领域,计算机通过分析和理解执行类似人类的任务。这个领域提供了机器的自动推理,使人类的生活更轻松。在本文中,我们重点研究了一个困难的计算机视觉任务,即场景分类。场景分类是通过处理给定的输入图像,使机器智能化和自动化的技术。随着机器实现自动化和智能化,可以执行各种任务,人工智能和图像处理开始出现。我们研究和分析各种途径和方法,使这些任务能够容易和准确地处理。此外,我们比较了所有的方法,找出了选择这个任务的最佳方法。
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