MAP：微博辅助分析TV节目
MAP: Microblogging Assisted Profiling of TV Shows
摘要：
人们越来越多地使用在线微博服务来共享和交换信息，已经成为一种有前途的方式来分析多媒体内容，在某种意义上，为用户提供对这些内容的社会化抽象和理解。在本文中，我们提出了一个微博分析框架，提供一个社会示范的电视节目。这项研究的挑战在于两个方面：首先，电视节目通常是离线的，即，第二，微博服务中的内容对于视频分析来说是非常嘈杂的，我们需要策略性地检索最相关的信息来进行电视节目分析。为了解决这些挑战，我们提出了一个MAP，一个微博辅助分析框架，贡献如下：i）我们提出了一个用户和内容联合检索方案，它使用关于电视节目的演员和主题的信息来检索相关的微博; ii）我们提出了一个社会感知的分析策略，它不仅根据视频的内容，而且还根据微博用户的社会关系及其在社会网络中的传播来分析视频; iii）我们提出了一些有趣的分析，基于我们的框架来描述现实世界的电视节目。
英文摘要：
Online microblogging services that have been increasingly used by people to share and exchange information, have emerged as a promising way to profiling multimedia contents, in a sense to provide users a socialized abstraction and understanding of these contents. In this paper, we propose a microblogging profiling framework, to provide a social demonstration of TV shows. Challenges for this study lie in two folds: First, TV shows are generally offline, i.e., most of them are not originally from the Internet, and we need to create a connection between these TV shows with online microblogging services; Second, contents in a microblogging service are extremely noisy for video profiling, and we need to strategically retrieve the most related information for the TV show profiling.To address these challenges, we propose a MAP, a microblogging-assisted profiling framework, with contributions as follows: i) We propose a joint user and content retrieval scheme, which uses information about both actors and topics of a TV show to retrieve related microblogs; ii) We propose a social-aware profiling strategy, which profiles a video according to not only its content, but also the social relationship of its microblogging users and its propagation in the social network; iii) We present some interesting analysis, based on our framework to profile real-world TV shows.
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。
