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Context Based Facial Expression Analysis in the Wild

机译：野外基于上下文的面部表情分析

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With the advances in the computer vision in the past few years, analysis of human facial expressions has gained attention. Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions unanswered. This project will explore and devise algorithms and techniques for facial expression analysis in practical environments. Methods will also be developed for inferring the emotion of a group of people. The central hypothesis of the project is that close to real-world data can be extracted from movies and facial expression analysis on movies is a stepping stone for moving to analysis in the real-world. The data extracted from movies carries with it rich meta-data information which will be useful for exploring the role of context in emotion recognition in the wild. For the analysis of groups of people various attributes effect the perception of mood. Study will be conducted and thorough literature survey will be performed on what are these contextual attributes. A system which can classify the mood of a group of people in videos will be developed and will be used to solve the problem of efficient image browsing and retrieval based on emotion.
机译：随着过去几年计算机视觉的进展，人类面部表情的分析已经受到关注。表达分析现在是现在二十多年的积极研究领域。但是，仍然有很多问题未答复。该项目将探索和设计实际环境中面部表情分析的算法和技术。还将制定方法，以推断一群人的情绪。该项目的中央假设是，可以从电影中提取的近世界数据，电影的面部表达分析是一个踏脚石，用于在现实世界中进行分析。从电影中提取的数据携带它丰富的元数据信息，这对于探索野外情绪识别中的语境中的角色是有用的。对于分析人群，各种属性会影响心情的感知。将进行研究，并对这些上下文属性进行彻底的文献调查。将开发一个系统，可以对视频中一群人进行分类，并将用于解决基于情感的高效图像浏览和检索问题。

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