Hashing with Local Combinations of Feature Points and Its Application to Camera-Based Document Image Retrieval—Retrieval in 0.14 Second from 10,000 Pages—

Language	English
Type	Proceedings of International Conferences
Authors	Tomohiro Nakai, Koichi Kise, Masakazu Iwamura
Title	Hashing with Local Combinations of Feature Points and Its Application to Camera-Based Document Image Retrieval—Retrieval in 0.14 Second from 10,000 Pages—
Journal	Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
Pages	pp.87-94
Location	Seoul, South Korea
Reviewed	Reviewed
Date	August 2005
Research fields	Document Image Analysis, Document Image Retrieval
Key	`Nakai2005_CBDAR` (id=369)

Abstract

This paper presents a new method of indexing and retrieval of planar objects based on feature points and its application to document image retrieval using cameras. As the indexing method we propose a method based on local combinations of projective invariants calculated from feature points. As the retrieval method we employ a voting technique for efficiency and robustness against erasure of feature points. Experimental results on 10,000 images with 50 queries show that the method is effective (98% accuracy; the remaining query was ranked at the 5th position among 10,000) and efficient (0.14 second per query).

Files

Export this publication

Style Output language

Format definition

How to write the definition

Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:

{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}

Output

@inproceedings{Nakai2005_CBDAR, author = {Nakai, Tomohiro and Kise, Koichi and Iwamura, Masakazu}, title = {Hashing with Local Combinations of Feature Points and Its Application to Camera-Based Document Image Retrieval---Retrieval in 0.14 Second from 10,000 Pages---}, booktitle = {Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)}, year = 2005, month = aug, pages = {87--94}, address = {Seoul, South Korea} }

← Back to list