loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cam-Tu Nguyen 1 ; Ha Vu Le 2 and Takeshi Tokuyama 1

Affiliations: 1 Tohoku University, Japan ; 2 VNU University of Engineering and Technology, Vietnam

Keyword(s): Image annotation, Cascade algorithm, Multi-level feature extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Context Discovery ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Multimedia Data ; Soft Computing ; Symbolic Systems

Abstract: This paper introduces a new scheme for automatic image annotation based on cascading multi-level multiinstance classifiers (CMLMI). The proposed scheme employs a hierarchy for visual feature extraction, in which the feature set includes features extracted from the whole image at the coarsest level and from the overlapping sub-regions at finer levels. Multi-instance learning (MIL) is used to learn the “weak classifiers” for these levels in a cascade manner. The underlying idea is that the coarse levels are suitable for background labels such as “forest” and “city”, while finer levels bring useful information about foreground objects like “tiger” and “car”. The cascade manner allows this scheme to incorporate “important” negative samples during the learning process, hence reducing the “weakly labeling” problem by excluding ambiguous background labels associated with the negative samples. Experiments show that the CMLMI achieve significant improvements over baseline methods as well as e xisting MIL-based methods. improvements over baseline methods as well as existing MIL-based methods. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.109.144

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nguyen, C.; Le, H. and Tokuyama, T. (2011). CASCADE OF MULTI-LEVEL MULTI-INSTANCE CLASSIFIERS FOR IMAGE ANNOTATION. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 14-23. DOI: 10.5220/0003634400140023

@conference{kdir11,
author={Cam{-}Tu Nguyen. and Ha Vu Le. and Takeshi Tokuyama.},
title={CASCADE OF MULTI-LEVEL MULTI-INSTANCE CLASSIFIERS FOR IMAGE ANNOTATION},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={14-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003634400140023},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - CASCADE OF MULTI-LEVEL MULTI-INSTANCE CLASSIFIERS FOR IMAGE ANNOTATION
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Nguyen, C.
AU - Le, H.
AU - Tokuyama, T.
PY - 2011
SP - 14
EP - 23
DO - 10.5220/0003634400140023
PB - SciTePress