Topic models for image retrieval on large-scale databases
نویسندگان
چکیده
منابع مشابه
Effective Graph-Based Content--Based Image Retrieval Systems for Large-Scale and Small-Scale Image Databases
Effective Graph-based Content-Based Image Retrieval Systems for Large-Scale And Small-Scale Image Databases
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In our previous work [4] we have shown that the representation of images by the Latent Dirichlet Allocation (LDA) model combined with an appropriate similarity measure is suitable for performing large-scale image retrieval in a realworld database. The LDA model, however, relies on the assumption that all topics are independent of each other – something that is obviously not true in most cases. ...
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In the past decade, a number of advances in topic modeling have produced sophisticated models that are capable of generating hierarchies of topics. One challenge for these models is scalability: they are incapable of working at the massive scale of millions of documents and hundreds of thousands of terms. We address this challenge with a technique that learns a hierarchy of topics by iterativel...
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The retrieval of images from a large database of images is an important area of current research. Here, a technique to retrieve images based on appearance is proposed. The database is initially ltered with derivatives of a Gaussian at several scales. A user deened template is then created from an image of an object similar to those being sought. The template is also ltered using Gaussian deriva...
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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 s...
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ژورنال
عنوان ژورنال: ACM SIGMultimedia Records
سال: 2009
ISSN: 1947-4598,1947-4598
DOI: 10.1145/1738921.1738925