Content-based image retrieval based

stemswedishAI and Robotics

Oct 15, 2013 (4 years and 29 days ago)

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Cont
ent
-
based image retrieval based

On

integrating

region segmentation and relevance feedback



Abstract

In the research of content
-
based image retrieval, visual

signature based on region was
attracted more attention. To get

the signature based on region,

the crucial step is image

segmentation, and reliable image segmentation is also critical to

get the image shape description.
Unfortunately, it has been

demonstrated that accurate image segmentation is still an open

problem. So some strategies for dealing
with this problem is to

reduce dependence on accurate
image segmentation for a

practical image retrieval system. Due to the semantic gap, there

are
still many shortcomings for image retrieval system only with

the low level visual features.


It is
desirable for the relevance

feedback based on the user participation in image retrieval

system. Through the user’s feedback, the corresponding highlevel

semantic will be obtained
based on machine learning theory.

Based on “things cognition” instead of “thi
ngs partition”, the

high dimension bio
met
r
ic information geometry theory have

made good results in many
research fields. Based on this theory,

to “cognition” the whole image characteristic through
image

segmented into main region and margin region, a prot
otype

image retrieval system was
made using the extracted features of

color and texture. Combined the retrieval results with
relevance

feedback technology, image feature dimensional reduction was

made using the linear
discrimin
ant analysis. It reduces sema
ntic

gap and the storage of image signatures, as well as
improves the

retrieval efficiency and performance. Experimental results on a

subset of the
COREL database showed the effectiveness of our


proposed method.







Introduction


Content
-
based image ret
rieval is a technology that in principle helps to organize picture
archives by their visual content. With the rapid growth of computing power, and digital image
acquisition devices available, how to effective retrieval digital images in a large library is
still an
highly challenging
. In recent years, the construction of region
-
based visual signature was
attracted more attention. Image segmentation is a key step to acquire a region
-
based signature
Reliable segmentation is also critical to get the image shape description.


However,
content
-
based image retrieval that confront many image types, some of them
even have not a

clear object, so some strategies for dealing with this problem is

to reduce
dependence on accurate image segmentation for a

practical image retrieval system
.



REFER
ENCES


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