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Research on Image Emotional Tag Generation Mechanism Based on the “Cloud Pet Keeping” Phenomenon

  • Chen Tang
  • Ke Zhong
  • Liqun Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10920)

Abstract

In Chinese UGC background, the “Cloud Pet Keeping” phenomenon that social media users keep eyes on certain pets’ growth by viewing the photos and texts released by pet bloggers is rising. Users obtain emotional resonance through browsing pet photos shared and are happy to contribute the consuming behavior. However, there are still large amount of people can’t find their favorite pets through searching. The emotional tags’ lack can be a possible reason, which causes the bad user experience. This research tried to purpose an approach based on “cloud pet keeping” phenomenon by using neural networks to develop the image emotional tag generation mechanism. In this experiment, cats’ photos are taken as the example to construct the model. This mechanism is used to predict the emotional categories of images. When users uploading the images, the mechanism will automatically generate emotional tags based on its prediction. This is a positive way to solve the problem in the lack of image emotional tags. It is foreseeable that the theory can be applied to other fields, such as industrial product and so on.

Keywords

Image emotional tags Neural network “Cloud pet keeping” phenomenon 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Design ManagementShanghai Jiao Tong UniversityShanghaiChina

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