Book
Finding the Best Picture: Cross-Media Retrieval of Content.
| Title: | Finding the Best Picture: Cross-Media Retrieval of Content. |
|---|---|
| Authors: | Deschacht, Koen, Moens, Marie-Francine |
| Source: | Advances in Information Retrieval: 30th European Conference on Ir Research, Ecir 2008, Glasgow, Uk, March 30-april 3, 2008. Proceedings; 2008, p539-546, 8p |
| Abstract: | We query the pictures of Yahoo! News for persons and objects by using the accompanying news captions as an indexing annotation. Our aim is to find these pictures on top of the answer list in which the sought persons or objects are most prominently present. We demonstrate that an appearance or content model based on syntactic, semantic and discourse analysis of the short news text is only useful for finding the best picture of a person of object if the database contains photos each picturing many entities. In other circumstances a simpler bag-of-nouns representation has a good performance. The appearance models are tested in a probabilistic ranking function. [ABSTRACT FROM AUTHOR] |
| Copyright of Advances in Information Retrieval: 30th European Conference on Ir Research, Ecir 2008, Glasgow, Uk, March 30-april 3, 2008. Proceedings is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| DOI: | 10.1007/978-3-540-78646-7_53 |
| Database: | Complementary Index |