Image Classification and Retrieval from User-Supplied Tags

Understand

This paper proposes direct learning of image classification from user-supplied tags, without filtering.

• Each tag is supplied by the user who shared the image online.
• Enormous numbers of these tags are freely available online, and they give insight about the image categories important to users and to image classification.
• Our approach is complementary to the conventional approach of manual annotation, which is extremely costly.