Joint Textual And Visual Cues For Retrieving Images Using Latent Semantic Indexing
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Effectively managing a large collection of multimedia documents is a challenge, addressed by many disciplines from signal processing through database systems to artificial intelligence and interaction design. The problems to be solved have rarely been cons ...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming equal relevance for the text and visual modalities, we propose a new way of m ...
One difficulty often overlooked in information retrieval systems is that search criteria themselves are often poorly defined. People describe their information needs in many different ways and frequently change their goals depending on the current results ...
Information Retrieval (IR) aims at solving a ranking problem: given a query q and a corpus C, the documents of C should be ranked such that the documents relevant to q appear above the others. This task is generally performed by ranking the documen ...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming equal relevance for the text and visual modalities, we propose a new way of m ...
Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pairs of email users, i.e., the extent to which the email topic dynamics of one ...
Presentations are becoming an increasingly more common means of communication in working environments, and slides are often the necessary supporting material on which the presentations rely. In this paper, we describe a slide indexing and retrieval system ...
Excessive network bandwidth consumption, caused by the transmission of long posting lists, was identified as one of the major bottlenecks for implementing distributed full-text retrieval in a Peer-to-Peer (P2P) architecture. To address this problem we intr ...
The following topics are dealt with: hyperdatabases; federated information systems; relevance feedback in CBIR; Oracle Chart Builder and MapViewer; SOM-based k-nearest neighbors search; partial image retrieval; high-dimensional image indexing; design and v ...
Semantic document annotation may be useful for many tasks. In particular, in the framework of the MDM project(http://www.issco.unige.ch/projects/im2/mdm/), topical annotation -- i.e. the annotation of document segments with tags identifying the topics disc ...