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首页> 外文会议>International Conference on Computing Methodologies and Communication >Innovative Approach For Identification Of Suspicious Images
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Innovative Approach For Identification Of Suspicious Images

机译：识别可疑图像的创新方法

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摘要

Images are the things those are being used in day to day life so much that it has become an important aspect of everyone's life. Images have always been a popular thing to be instantly shared with each other around the globe. Today's world is a place where one can get easily influenced and images being perfect to influence as it easily conveys a lot using visual representation also it tends to be remembered more. Images can have positive influence via means of motivational quotes images also it can have negative influence via means of sharing nude images, images of killing etc. Retrieval of images with object-of-interest from a vast pool of social media images has been a research interest in the understanding of human emotions, situations leading to conflicts, in the field of cybercrime etc. The proposed system is a model for suspicious detection of an image; it is a system which will decide the image is a good or bad influence based on the past and present experiences. The proposed system makes use of more number of attributes than the existing system which makes prediction more accurate. It is a machine learning application where a large amount of data is analyzed and some meaningful information is extracted. The system makes use of the huge dataset of data given to it and that data being trained.
机译：图像是那些在日常生活中使用的东西，即它已成为每个人生活的一个重要方面。图像一直是全球彼此互相共享的流行件。今天的世界是一个可以很容易受到影响的地方，并且图像完美地受到影响，因为它很容易使用视觉表现方式传达很多，而且也倾向于被记住。图像可以通过励志引用图像具有积极影响，通过共享裸体图像，杀戮图像的手段也可以产生负面影响等。从广大的社交媒体图像中，利益对象的图像检索图像已经是一项研究对人类情绪的理解的兴趣，在网络犯罪的领域中导致冲突的情况。所提出的系统是一种可疑检测图像的模型;它是一个系统，它将根据过去和现在的经验来决定图像是一种良好或不良影响。所提出的系统使用比现有系统更多的属性，这使得预测更准确。它是一种机器学习应用程序，其中分析了大量数据，并提取了一些有意义的信息。该系统利用给予它的巨大数据数据以及正在接受培训的数据。

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