what do you understand about how each system works to index-retrieve images? manually index...

What do you understand about how each system works to index-retrieve images?

Manually Index

Expensive but effective

What do you understand about how each system works to index-retrieve images?

Visual Similarity (QBIC / Blobworld)

User makes a visual query (i.e. “I want image(s) that look like this”) – where “look like” is defined mathematically by the system (e.g. colour histograms, texture, shape)

What do you understand about how each system works to index-retrieve images?

Use keywords in HTML (search engines)

?How to select the keywords?

Take from the filename / directory names

Take them from the ALT tag

??Maybe take them from the rest of the text on the webpage??

What do you think are the strengths and weaknesses of each approach / system? What kinds of information needs / queries are they good for?

Manual indexing – good when there’s a business model

Visual Similarity – match patterns like trademarks, find a painting whose name you’ve forgotten, find images to match a colour schemes

Keywords in HTML – best we’ve got for general web searches