NDLI: A faster color-based clustering method for summarizing photos in smartphone

Content Provider	IEEE Xplore Digital Library
Author	Kwanghwi Kim Seong-Min Yoon Hwan-Gue Cho
Copyright Year	2012
Description	Author affiliation: Dept. of Computer Science and Engineering, Pusan National University, Korea (Kwanghwi Kim; Hwan-Gue Cho) \|\| Dept. of Economics, Pusan National University, Korea (Seong-Min Yoon)
Abstract	Many people use smartphones which feature cameras and large storage capacities. They have comfortable features that allow the recording of daily life and encourage them to take hundreds of photos. However, their limited screen sizes cause browsing problems with large photo set. In addition, organizing photos by manual is a hard and tediuous work. Therefore, a way to classify photos to events and a better visualization method are needed. Much research has automatically classified photos to easily present and manage collections. However, most algorithm were designed for computers, not for smartphones which have limited computing power. This paper describes a fast and lightweight spatial clustering method to summarize and visualize smartphone photos by event. We defined a nearly identical photos which are taken by people in order to get better quality photos. These photos do not need to visualize duplicately since they show same event. We calculated each photo's similarity and focused on eliminating inefficient steps to measure it. The CIELAB color space was selected to accurately measure color differences and quantize colors. We extracted nearly identical photos and cut events by optimal matching with each photo's color histogram. Our method changed the color quantization technique and accelerated clustering speed by >20 while retaining precision and recall.
Starting Page	561
Ending Page	565
File Size	296505
Page Count	5
File Format	PDF
ISBN	9781467300889
e-ISBN	9781467300896
DOI	10.1109/CSAE.2012.6272835
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Clustering methods Clustering algorithms Color Quantization Feature extraction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A New Image Retrieval Method Based on Color Feature

Color palette generation for image classification by bag-of-colors

Content based image retrieval a comparative based analysis for feature extraction approach

Comparison of Color and Color with Edge Feature Extraction Using Contribution-Based Clustering Algorithm

Fast image segmentation and texture feature extraction for image retrieval

A novel method for flash character localization

A multi-color extraction method based on semantic color model

Unsupervised Video Summarization via Dynamic Modeling-Based Hierarchical Clustering

A novel content based image retrieval system using K-means with feature extraction

A faster color-based clustering method for summarizing photos in smartphone

Similar Documents

A New Image Retrieval Method Based on Color Feature

Color palette generation for image classification by bag-of-colors

Content based image retrieval a comparative based analysis for feature extraction approach

Comparison of Color and Color with Edge Feature Extraction Using Contribution-Based Clustering Algorithm

Fast image segmentation and texture feature extraction for image retrieval

A novel method for flash character localization

A multi-color extraction method based on semantic color model

Unsupervised Video Summarization via Dynamic Modeling-Based Hierarchical Clustering

A novel content based image retrieval system using K-means with feature extraction

A faster color-based clustering method for summarizing photos in smartphone