LABERINTO at ImageCLEF 2011 Medical Image Retrieval Task
نویسندگان
چکیده
This paper shows the experimentation and the results obtained for LABERINTO research group at the ImageCLEF 2011 medical task. We focus our work on image retrieval based on textual information related to the image. The initial hypothesis is that query expansion could improve the effectiveness of image retrieval systems. In this proposal, three different types of indexes were built and several information elements contained in MeSH ontology were used to expand the queries. The experiments carried out show that the expansion strategies using the MeSH ontology obtain good results for this task.
منابع مشابه
UNED-UV at Medical Retrieval Task of ImageCLEF 2011
The main goal of this paper it is to present our experiments in ImageCLEF 2011 Campaign (Medical Retrieval Task). This edition we use textual and visual information, based on the assumption that the textual module better captures the meaning of a topic. So that, the TBIR module works firstly and acts as a filter, and the CBIR system reorder the textual result list. We also investigate if query ...
متن کاملFCSE at ImageCLEF 2012: Evaluating Techniques for Medical Image Retrieval
This paper presents the details of the participation of FCSE (Faculty of Computer Science and Engineering) research team in ImageCLEF 2012 medical retrieval task. We investigated by evaluating different weighting models for text retrieval. In the case of the visual retrieval, we focused on extracting low-level features and examining their performance. For, the multimodal retrieval we used late ...
متن کاملDEMIR at ImageCLEFMed 2011: Evaluation of Fusion Techniques for Multimodal Content-based Medical Image Retrieval
This paper present the details of participation of DEMIR (Dokuz Eylul University Multimedia Information Retrieval) research team to the context of our participation to the ImageCLEF 2011 Medical Retrieval task. This year, we evaluated fusion and re-ranking method which is based on the best low level feature of images with best text retrieval result. We improved results by examination of differe...
متن کاملOverview of the Wikipedia Image Retrieval Task at ImageCLEF 2011
ImageCLEF’s Wikipedia Image Retrieval task provides a testbed for the system-oriented evaluation of multimedia and multilingual information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are searched for by users with diverse informatio...
متن کاملSNUMedinfo at ImageCLEF 2013: Medical Retrieval Task
This paper describes the participation of the SNUMedinfo team at the two retrieval tasks (Ad-hoc image-based retrieval and Case-based retrieval) in the ImageCLEF 2013 medical task. For the ad-hoc image-based retrieval task, we submitted 1 baseline textual run using query likelihood model in Indri search engine, and 4 visual runs utilizing various image features implemented in Lire image retriev...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011