Multimodal-based Diversified Summarization in Social Image Retrieval
نویسندگان
چکیده
In this paper, we describe our approach and its results for the MediaEval 2015 Retrieving Diverse Social Images task. The main strength of the proposed approach is its flexibility that permits to filter out irrelevant images, and to obtain a reliable set of diverse and relevant images. This is done by first clustering similar images according to their textual descriptions and their visual content, and then extracting images from different clusters according to a measure of user’s credibility. Experimental results shown that it is stable and has little fluctuation in both single-concept and multi-concept queries.
منابع مشابه
Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval
This paper presents the MultiBrasil team experience in the Retrieving Diverse Social Images Task at MediaEval 2017. The teams were required to develop a diversification approach for social image retrieval, enhanced with visual summarization. Our proposal for relevance improvement relies on text and credibility-based reranking and rank aggregation. For diversification, we use diversity-oriented ...
متن کاملText- and Content-based Approaches to Image Retrieval for the ImageCLEF 2009 Medical Retrieval Track
This article describes the participation of the Image and Text Integration (ITI) group from the United States National Library of Medicine (NLM) in the ImageCLEF 2009 medical retrieval track. Our methods encompass a variety of techniques relating to document summarization and textand content-based image retrieval. Our text-based approach utilizes the Unified Medical Language System (UMLS) synon...
متن کاملمرور مؤثر نتایج جستجوی تصاویر با تلخیص بصری و متنوع از طریق خوشهبندی
With unprecedented growth in production of digital images and use of multimedia references, requirement of image and subject search has been increased. Systematic processing of this information is a basic prerequisite for effective analysis, organization and management of it. Likewise, large collections of images have been made available on the Web and many search engines have provided the poss...
متن کاملJunk Image Filtering via Multimodal Clustering for Tag-based Social Image Search
Tag-based social image search is now very popular for accessing large numbers of collaboratively tagged images on social image sharing platforms. Unfortunately, because of the uncertainty of the relatedness between images and their annotation tags, a very large number of junk images are returned by such search engines without filtering. In this paper, to filter out junk images, the result image...
متن کاملImage/video Indexing, Retrieval and Summarization Based on Eye Movement
Information retrieval is one of the most fundamental functions in this era information. There is ambiguity in the scope of interest of users, regarding image/video retrieval, since an image usually contains one or more main objects in focus, as well as other objects which are considered as ̳background‘. This ambiguity often reduces the accuracy of image-based retrieval such as query by image ex...
متن کامل