Automatic Group Happiness Intensity Analysis

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Year of Project2015

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Automatic Group Happiness Intensity Analysis | IEEE Projects 2015 | Final year projects | BE Projects | ME Projects | Abstract : The recent advancement of social media has given users a platform to socially engage and interact with a larger population. Millions of images and videos are being uploaded everyday by users on the web from different events and social gatherings. There is an increasing interest in designing systems capable of understanding human manifestations of emotional attributes and affective displays. As images and videos from social events generally contain multiple subjects, it is an essential step to study these groups of people. In this paper, we study the problem of happiness intensity analysis of a group of people in an image using facial expression analysis. A user perception study is conducted to understand various attributes, which affect a person’s perception of the happiness intensity of a group. We identify the challenges in developing an automatic mood analysis system and propose three models based on the attributes in the study. An `in the wild’ image-based database is collected. To validate the methods, both quantitative and qualitative experiments are performed and applied to the problem of shot selection, event summarisation and album creation. The experiments show that the global and local attributes defined in the paper provide useful information for theme expression analysis, with results close to human perception results.

Automatic Group Happiness Intensity Analysis

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As a part of project you will get below mentioned documentation along with SOURCE CODE,

1). BIBLIOGRAPHY
2). CONCLUSION
3). HARDWARE SOFTWARE SPECIFICATION
4). IMPLEMENTATION
5). INPUT DESIGN &OUTPUT DESIGN
6). INTRODUCTION
7). LITERATURE SURVEY
8). SCREENSHOT
9). SOFTWARE ENVIRONMENT
10). SYSTEM ANALYSIS
11). SYSTEM DESIGN
12). SYSTEM STUDY
13). SYSTEM TESTING

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Automatic Group Happiness Intensity Analysis

Automatic Group Happiness Intensity Analysis

Automatic Group Happiness Intensity Analysis

Technology: DOT NET and DOT NET IEEE PROJECTS.Project Tags: BE Projects, Final Year Projects, IEEE Projects 2015, KNOWLEDGE AND DATA ENGINEERING-DATA MINING, and ME Projects.

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