Chapter 19
Topic Modeling for Large-Scale Multimedia Analysis and Retrieval
Juan Hu, Yi Fang, Nam Ling, and Li Song
Abstract
The explosion of multimedia data in social media raises a great demand for developing effective and efficient computational tools to facilitate producing, analyzing, and retrieving large-scale multimedia content. Probabilistic topic models prove to be an effective way to organize large volumes of text documents, while much fewer related models are proposed for other types of unstructured data such as multimedia content, partly due to the high computational cost. With the emergence of cloud computing, topic models are expected to become increasingly applicable to multimedia data. Furthermore, the growing demand for a deep ...
Get Big Data now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
