Towards Annotation-Based Query and Document Expansion for Image Retrieval

Abstract. In this paper we report results of experiments conducted with strategies for improving text-based image retrieval. The adopted strategies were evaluated in the photographic retrieval task at ImageCLEF2007. We propose a Webbased method for expanding textual queries with related terms. This technique was the top-ranked query expansion method among those proposed by other ImageCLEF2007 participants. We also consider two methods for combining visual and textual information in the retrieval process: late-fusion and intermediafeedback. The best results were obtained by combining intermedia-feedback and our expansion technique. The main contribution of this paper, however, is the proposal of ”annotation-based expansion”; a novel approach that consists of using labels assigned to images (with image annotation methods) for expanding textual queries and documents. We introduce this idea and report results of initial experiments towards enhancing text-based image retrieval via image...

• Type: Conference
• Year: 2007
• Where: CLEF
• Authors: Hugo Jair Escalante, Carlos A. Hernández, Aurelio López-López, Heidy Marin-Castro, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda
• Keywords: CLEF 2007, Information Retrieval, Photographic Retrieval Task, Text-based Image Retrieval, Textual Queries