New Use for the Pen: Outline-Based Image Queries

Authors:
Lambert Schomaker;Louis Vuurpijl;Edward de Leau
Affiliations:
-;-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

Citing 0
Cited 5

Online Recognition of Chinese Characters: The State-of-the-Art

IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEG7 Standard

Graphics Recognition. Recent Advances and New Opportunities
An indexing and retrieval system of historic art images based on fuzzy shape similarity

MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Human-centered object-based image retrieval

ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

A method for image-based queries and search is proposed which is based on the generation of object outlines in images by using the pen, e.g., on color pen computers. By exploiting the actual presence of the human users with their perceptual-motor abilities and by storing textually annotated queries, an incrementally learning image retrieval system can be developed.As an initial test domain, sets of photographs of motor bicycles were used. Classification performances are given for outline and bitmap-derived feature sets, based on nearest-neighbor matching, with promising results.The next step is to use outlines for edge matching in raw, non-annotated images, for which preliminary results are presented. The benefit of the approach will be a user-based multi-modal annotation of image database, yielding a gradual improvement in performance over time.