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  1. International Conference on Intensive Applications and Services, INTENSIVE.
  2. 2009 First International Conference on Intensive Applications and Services
  3. From Images to Schemas
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2009 First International Conference on Intensive Applications and Services
Cover Art
Title Page i
Title Page iii
Copyright Page
Table of Contents
Preface
Committees
Reviewers
Dynamic Policy Conflict Analysis in Operational Intensive Trust Services for Cross-Domain Federations
Accelerating K-Means on the Graphics Processor via CUDA
Allocation of Heterogeneous Banks' Automated Teller Machines
From Images to Schemas
A Service for Data-Intensive Computations on Virtual Clusters
Parallel Data Processing Based on EDMA to Save the Processing Power of a T-DMB Software Baseband Receiver Running on a Digital Signal Processor
Re-evaluating Multicast Streaming Using Large-Scale Network Simulation
SemMed: Applying Semantic Web to Medical Recommendation Systems
Subjective Evaluation of Video on Demand Systems Using Different Network Connections
Scalable Services Orchestration with Continuation-Passing Messaging
Performance Modeling for Evaluation and Planning of Electronic Funds Transfer Systems with Bursty Arrival Traffic
Improving Connection Pooling Persistence Systems
Author index
Publisher's Information

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From Images to Schemas

Content Provider IEEE Xplore Digital Library
Author Paris, S.
Copyright Year 2009
Abstract In Content Based Image Retrieval (CBIR), images are segmented to synthesize image information. Among several characteristics like color or edges, texture is useful for segmenting. This paper proposes an intensive multiresolution approach to texture segmentation based on a wavelet transform. The technique delivers schematic descriptions of images. That is to say, it provides the main regions of interest (ROIs) according to image information. Firstly, the process divides images into 2 × 2 blocks. Then, it tracks texture through the multiresolution offered by the wavelet transform to form featuring vectors. Next, a K-means algorithm partitions the texture vector space into clusters. Finally, a connected component extraction delivers the image schema.
Starting Page 22
Ending Page 27
File Size 785122
Page Count 6
File Format PDF
ISBN 9781424436835
DOI 10.1109/INTENSIVE.2009.16
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2009-04-20
Publisher Place Spain
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Wavelet transforms Content based retrieval color Image retrieval texture Multimedia databases Information retrieval Data mining Image segmentation Image databases Layout CBIR wavelet intensive schematization Pixel
Content Type Text
Resource Type Article
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