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Author Alahari, Mishra Karteek ♦ Jawahar, C. V.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Query-driven Search Approach ♦ State-of-the-art Method ♦ Textual Cue ♦ Exact Lo-calization ♦ Text Retrieval Problem ♦ Ranked List ♦ Textual Content Present ♦ Public Scene Text Datasets ♦ Recent Development ♦ Large Datasets ♦ Spatial Con-straints ♦ Iiit Scene Text Retrieval ♦ Text-to-image Retrieval Problem ♦ Image Retrieval ♦ Tv Series-1m ♦ Retrieval Performance ♦ Recognition Pipeline ♦ Text Query ♦ Approximate Location
Description We present an approach for the text-to-image retrieval problem based on textual content present in images. Given the recent developments in understanding text in images, an appealing approach to address this problem is to localize and recognize the text, and then query the database, as in a text retrieval problem. We show that such an approach, de-spite being based on state-of-the-art methods, is insufficient, and propose a method, where we do not rely on an exact lo-calization and recognition pipeline. We take a query-driven search approach, where we find approximate locations of characters in the text query, and then impose spatial con-straints to generate a ranked list of images in the database. The retrieval performance is evaluated on public scene text datasets as well as three large datasets, namely IIIT scene text retrieval, Sports-10K and TV series-1M, we introduce. 1.
In "ICCV 2013 - IEEE International Conference on Computer Vision
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article