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Locally Linear Salient Coding for image classification

Babaee, Mohammadreza and Rigoll, Gerhard and Bahmanyar, Reza and Datcu, Mihai (2014) Locally Linear Salient Coding for image classification. In: 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 2014, pp. 1-4. IEEE Xplore. 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 18-20 June 2014, Klagenfurt , Austria. DOI: 10.1109/CBMI.2014.6849822

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6849822

Abstract

Representing images with their descriptive features is the fundamental problem in CBIR. Feature coding as a key-step in feature description has attracted the attentions in recent years. Among the proposed coding strategies, Bag-of-Words (BoW) is the most widely used model. Recently saliency has been mentioned as the fundamental characteristic of BoW. Base on this idea, Salient Coding (SaC) has been introduced. Empirical studies show that SaC is not able to represent the global structure of data with small number of codewords. In this paper, we remedy this limitation by introducing Locally Linear Salient Coding (LLSaC). This method discovers the global structure of the data by exploiting the local linear reconstructions of the data points. This knowledge in addition to the salient responses, provided by SaC, helps to describe the structure of the data even with a few codewords. Experimental results show that LLSaC obtains state-of-the-art results on various data types such as multimedia and Earth Observation.

Item URL in elib:https://elib.dlr.de/93407/
Document Type:Conference or Workshop Item (Speech)
Title:Locally Linear Salient Coding for image classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, Mohammadrezareza.babaee (at) tum.deUNSPECIFIED
Rigoll, Gerhardrigoll (at) tum.deUNSPECIFIED
Bahmanyar, Rezagholamreza.bahmanyar (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:12th International Workshop on Content-Based Multimedia Indexing (CBMI), 2014
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/CBMI.2014.6849822
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE
Publisher:IEEE Xplore
Status:Published
Keywords:content-based retrieval;feature extraction;image classification;image coding;image retrieval;CBIR;bag-of-words;data point local linear reconstructions;descriptive features;feature coding;feature description;image classification;image representation;locally linear salient coding;Accuracy;Computer vision;Earth;Encoding;Feature extraction;Image coding;Image reconstruction;Content-Based Image Retrieval;Feature Coding;Locally Linear Embedding;Salient Coding
Event Title:12th International Workshop on Content-Based Multimedia Indexing (CBMI)
Event Location:Klagenfurt , Austria
Event Type:international Conference
Event Dates:18-20 June 2014
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Bahmanyar, Gholamreza
Deposited On:10 Dec 2014 13:21
Last Modified:11 Dec 2014 09:39

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