Image Retrieval using Textual Cues - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

Image Retrieval using Textual Cues

Abstract

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, despite being based on state-of-the-art methods, is insufficient, and propose a method, where we do not rely on an exact localization 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 constraints 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.
Fichier principal
Vignette du fichier
mishra13.pdf (3.26 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00875100 , version 1 (21-10-2013)

Identifiers

Cite

Anand Mishra, Karteek Alahari, C.V. Jawahar. Image Retrieval using Textual Cues. ICCV - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. pp.3040-3047, ⟨10.1109/ICCV.2013.378⟩. ⟨hal-00875100⟩
647 View
538 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More