1. OUTLINE Basic ideas of traditional retrieval systems
image retrieval systems
differences

2. the architecture of information retrieval system
1． spider
2． database
3． User interface
Spider is running on server, it can be closed and started. Spider parses the pages and segments the info stream and saves them into database. Database stores the abstract, date and URLs. The user interface is bridge between the user and database.

4. Search program 1）read the page stream based on the initial URL;
2）exact certain info from pages(including URLs), stores them into database；
3）repeats until no new URLs in queue, or time out ；

5. User interface
User Interface retrieves the records from database based on key words.

6. AIL system:
Simple Search

7. keyword, author, subject, size and modified dates
Advanced Search
search choices:
keyword, author, subject, size and modified dates

8. abstract, whole text, size, date and result ranking

9. Keywords Relationship
*： prefix
“AND”，“AND NOT”：
“OR”：

10. User’s templates
User account, PASSWORD， ，subject and start URL.

11. Add, insert and delete templates

12. User template search
user account, password, keyword, author,date, size

14. The shortcoming of traditional retrieval system：
Traditional feature vector based retrieval method can not provide retrieval on the semantic level.
Some spiders cannot even understand frames.
Retrieval systems cannot yet make heads or tails of any images, audio or video clips, so these bits of information are wasted.

15. Image retrieval system
The components of image retrieval system include:
the user-interface
network handling
server programs

16. The user interface collects the query from the user and send the query string to the Server as parameters
The communication across the network from user to server will be handled entirely by the HTTP protocol.
Server will receive the cgi-bin URL parameters and facilitate the execution of the remaining server programs.

17. create query string

18. search result

19. The differences between the two systems
image retrieval system is better than traditional retrieval system:
The indexing part of context based
image retrieval system is more powerful.
Because images retrieve needs more requirements.
The context based image retrieval system can do with the uncompleted and fuzzy queries.
The context based image retrieval system can refine the results.

20. image retrieval system should implement the following points:
Adopt the template conception into the image retrieve
Combined with the traditional retrieval system
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