[
Project Title: Intelligent
Web Image Retrieval and
Processing ] -
Schedule |
Supervising faculty
member: Prof.
YEUNG, Dit-Yan |
Project description
and objectives:
|
|
The
emergence and increased
popularity of the World
Wide Web has led to
dramatic increase in
the number of hypertext
documents that can be
accessed fairly easily.
Advances in digital
imaging technologies,
including the widespread
use of affordable digital
cameras, further make
multimedia content play
an increasingly important
role in the Web.
While
searching for relevant
Web pages based on
their textual content
is among the most
common and useful
Internet tools available
today, searching for
relevant images from
the Web is still an
inconvenient and ineffective
process. The most
common approach, like
that for textual documents,
is still based on
keyword search. The
major limitation of
this approach is that
it requires prior
annotation of the
images which is both
very tedious and subjective.
A more promising approach
is to allow the user
to simply present
a sample image as
query. An image-based
search engine then
makes use of the query
image to retrieve
similar images from
the Web according
to some predefined
or adaptive similarity
criterion. An illustrative
example is shown below.
The query image is
shown with a red frame
around it, followed
by some retrieved
images with their
similarity measures
decreasing from left
to right. Based on
the prior research
experience of the
advisor in this problem,
participating students
will be guided to
make interesting explorations
along this direction
by building such an
image retrieval system.
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|
If
the students are aggressive
enough, they may even
consider the additional
aspect of developing
some image editing tools
for the retrieved images.
Essentially they will
build their own mini-Photoshop! |
Language of instruction: |
|
Cantonese
or English |
Software tools
/ programming languages
involved: |
|
*
(see footnote) |
Deliverables: |
|
A
Web-based image retrieval
system (optionally with
image editing capabilities) |
Things students
will learn: |
|
Mathematical
formulation of image
retrieval problem; basic
concepts and techniques
for image representation
and analysis; implementation
of image retrieval algorithms
using a high-level programming
language; simple Web-based
programming; etc. |
Prerequisites: |
|
Strong
mathematical background.
Prior programming experience
an advantage though
not absolutely necessary. |
|
|
|
*
to be determined with
the participants based
on their interest and
background |
|