Memory Reduction for Real-Time Document Image Retrieval with a 20 Million Pages Database

Language	English
Type	Proceedings of International Conferences
Authors	Kazutaka Takeda, Koichi Kise, Masakazu Iwamura
Title	Memory Reduction for Real-Time Document Image Retrieval with a 20 Million Pages Database
Journal	Proc. Fourth International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2011)
Pages	pp.59-64
Location	Beijing, China
Reviewed	Reviewed
Presentation type	Oral
Date	September 2011
Research fields	Document Image Analysis, Document Image Retrieval
Key	`Takeda2011_CBDAR` (id=1244)

Abstract

We have introduced the three improvements of Locally Likely Arrangement Hashing (LLAH) in ICDAR2011 to reduce a required amount of memory and increase discrimination power of features. In this paper, we show the experimental results which is obtained on a larger-scale database than that utilized for ICDAR2011. From experimental results, we have confirmed that the proposed method realizes 60% memory reduction and achieves 99.2% accuracy with 49ms/query processing time for the retrieval of a database of 20 million pages.

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{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

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@inproceedings{Takeda2011_CBDAR, author = {Takeda, Kazutaka and Kise, Koichi and Iwamura, Masakazu}, title = {Memory Reduction for Real-Time Document Image Retrieval with a 20 Million Pages Database}, booktitle = {Proc. Fourth International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2011)}, year = 2011, month = sep, pages = {59--64}, address = {Beijing, China} }

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