This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presented is based on combining evidence of the text content and hypertext structure of the Web. The paper shows that certain types of query are amply served by this form of representation. It also presents a novel means of gathering relevance judgements.
|Title of host publication||Proceedings of the 20th Annual International ACM SIGIR conference on Research and development in Information Retrieval|
|Number of pages||8|
|Publication status||Published - 1997|
- image retrieval
- information retrieval