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1. Content Based Image Retrieval System Using Sketches
Presented by
Jorge Devid
SEMINAR
ON

2. Contents
• Introduction
• Existing system
• Proposed system
• Dataflow
• User Interface
• Sketch Images
• Testing Aspects
• Conclusion

3. Introduction
• CBIR is one of the most popular, research
technique in digital image processing.
• Images are manually annotated with keywords and
then retrieved using text based search methods.
• This paper aims to introduce the problems and
challenges concerned with the design and the
creation of CBIR systems, which is based on a
free hand sketch(SBIR).

4. Existing system
• In earlier days image retrieving process:
• Automatic Image Annotation and Retrieval using Cross
Media Relevance Models.
• Concept Based Query Expansion.
• Query System Bridging The Semantic Gap For Large
Image Databases.
• Ontology-Based Query Expansion Widget for
information
• Retrieval.
• Detecting image purpose in World-Wide Web
documents

5. Feature
Extraction
Similarity
measure
Retrieval
Result
Query
Update
User’s
Feedback
Find
all
image
s
Final
Retrieval
Result
Input Query
Existing system

6. Proposed system
• Relevance feedback is an interactive process that
starts with normal CBIR.
• The user input a query, and then the system
extracts the image feature and measure the
distance with images in the database. An initial
retrieval list is then generated.
• User can choose the relevant image to further
refine the query, and this process can be iterated
many times until the user find the desired images.

7. Displaying Subsystem Feature Vector
generating subsystem
Preprocessing
Subsystem
Retrieval
Subsystem
Database
management
system
Image
Preprocessed
image
Result Feature vector
Stock Index
Proposed system

8. The Program
has been started
Drawing
Feature vector
generation
Cluster display
of results
Query in the
stock index
Final result
Iteration of the process
Preprocessing
Dataflow

9. User Interface

10. Sketch Images

11. Precession =
Recall =
Testing Aspects
Relevant hits(Q)
All hits(P)
Relevant hits(Q)
Expected hits(Z)

12. Sample Images
• Precession:

13. Sample Images
• Recall:

14. Conclusion
• This paper performed to design,
implement and test a sketch based
image retrieval system.
• To draw image without modification
can’t be compared with color image,
the simple smoothing and edge
detection based method was improved.

15. Any
Query’s?