Despite the explosion of text on the Internet, hard copy documents that have been scanned as images still play a significant role for some tasks. The best method to perform ranked retrieval on a large corpus of document images, however, remains an open research question. The most common approach has been to perform text retrieval using terms generated by optical character recognition. This pape...

This paper presents the details of the participation of FCSE (Faculty of Computer Science and Engineering) research team in ImageCLEF 2012 medical retrieval task. We investigated by evaluating different weighting models for text retrieval. In the case of the visual retrieval, we focused on extracting low-level features and examining their performance. For, the multimodal retrieval we used late ...

Our approach to the ImageCLEF medical case retrieval task consists of text-only retrieval combined with utilizing the Medical Subject Headings (MeSH) ontology. MeSH terms extracted from the query are used for query expansion or query term weighting. MeSH annotations of documents available from PubMed Central are added to the corpus. Retrieval results improve slightly upon full-text retrieval.

A document conveys information using multiple modalities, including text, layout/style and images. For example, journal articles usually have figures to illustrate experimental results, and the title in a journal article usually has a different font size than the body text. Indexing and retrieval using only text is the traditional way of IR (Information Retrieval). With the development of the I...

Information retrieval has become an important field of study and research under computer science due to explosive growth of information available in the form of full text, hypertext, administrative text, directory, numeric or bibliographic text. The research work is going on various aspects of information retrieval systems so as to improve its efficiency and reliability. This paper presents a c...

Video is becoming a prevalent medium for e-learning. Lecture videos contain text information in both the visual and aural channels: the presentation slides and lecturer’s speech. This paper examines the relative utility of automatically recovered text from these sources for lecture video retrieval. To extract the visual information, we apply video content analysis to detect slides and optical c...

A framework is presented for applicationembedded information retrieval from distributed free-text collections. An application’s usage is sampled by an embedded information retrieval system. Samples are converted into queries to distributed collections. Retrieval is adjusted through sample size and structure, anydata indexing, and dual space feedback. The framework is investigated with a retriev...

Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...

The Text Retrieval Conference∗ is an annual conference where researchers in information retrieval (IR) compare their systems on specified retrieval tasks through several tracks. This poster summarizes the work done by Kyoto University and the University ofMelbourne for the 2007 Genomics Track. We begin by briefly describing the track and then continue with a description of our method. We conclu...

DEFINITION Presenting structured text retrieval results refers to the fact that, in structured text retrieval, results are not independent and a judgment on their relevance needs to take their presentation into account. For example, HTML/XML/SGML documents contain a range of nested sub-trees that are fully contained in their ancestor elements. As a result, structured text retrieval should make ...