VIP：在图像中找出重要人物
VIP: Finding Important People in Images
AI总结：
研究集体照片中人物重要性，解决给定图像中谁最重要及给定人物的多张图像中哪张其角色最重要的问题，引入衡量方法并研究与视觉显著性的相关性，还发现能自动预测重要性并改进im2text等应用。
摘要：
人们通过拍摄照片来留存生日、婚礼或度假等事件的记忆，照片中常有一群人。鉴于事件背景，图像中的一些人比其他人更重要。本文分析了集体照片中人物重要性的概念。我们解决两个具体问题：给定一张图像，其中最重要的人物是谁？给定一个人的多张图像，哪张图像中该人物的角色最重要？我们引入了一种衡量图像中人物重要性的方法，并研究重要性与视觉显著性之间的相关性。我们发现不仅能从纯视觉线索自动预测人物的重要性，将这种预测的重要性纳入im2text等应用中能带来显著改进。
英文摘要：
People preserve memories of events such as birthdays, weddings, or vacations by capturing photos, often depicting groups of people. Invariably, some individuals in the image are more important than others given the context of the event. This paper analyzes the concept of the importance of individuals in group photographs. We address two specific questions -- Given an image, who are the most important individuals in it? Given multiple images of a person, which image depicts the person in the most important role? We introduce a measure of importance of people in images and investigate the correlation between importance and visual saliency. We find that not only can we automatically predict the importance of people from purely visual cues, incorporating this predicted importance results in significant improvement in applications such as im2text (generating sentences that describe images of groups of people).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
