Results 1 - 10 of 131

On the Regularization of Image Semantics by Modal Expansion

by Jose Costa Pereira , Nuno Vasconcelos
"... Recent research efforts in semantic representations and context modeling are based on the principle of task expansion: that vision problems such as object recognition, scene classification, or retrieval (RCR) cannot be solved in isolation. The extended principle of modality expansion (that RCR probl ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
problems cannot be solved from visual information alone) is investigated in this work. A semantic image labeling system is augmented with text. Pairs of images and text are mapped to a semantic space, and the text features used to regularize their image counterparts. This is done with a new cross-modal

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

by Jose Costa Pereira, Student Member, Emanuele Coviello, Gabriel Doyle, Nikhil Rasiwasia, Gert R. G. Lanckriet, Senior Member, Roger Levy, Nuno Vasconcelos, Senior Member
"... Abstract—The problem of cross-modal retrieval from multimedia repositories is considered. This problem addresses the design of retrieval systems that support queries across content modalities, for example, using an image to search for texts. A mathematical formulation is proposed, equating the desig ..."
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hypotheses hold, in a complementary form, although evidence in favor of the abstraction hypothesis is stronger than that for correlation. Index Terms—Multimedia, content-based retrieval, multimodal, cross-modal, image and text, retrieval model, semantic spaces, kernel correlation, logistic regression Ç 1

A Generic Framework for Semantic Medical Image Retrieval

by Manuel Möller, Michael Sintek
"... Abstract. Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer su cient. Therefore semantic annotation is a key concern for an improvement of the relevance in image retrieval appli ..."
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levels allowing cross-modal as well as cross-lingual retrieval through Content Based Image Retrieval (CBIR), query by keyword/text, and query by concept. Experiences from implementing a framework supporting these features are reported as well as our e orts to select and acquire relevant domain knowledge

Improving Cbir By Semantic Propagation And Cross Modality Query Expansion

by H.J. Zhang, Z. Su , 2001
"... The retrieval accuracy content-based image retrieval (CBIR) systems is often low since it is usually performed based on the comparison of low level features. Many practical CBIR systems still rely on text retrieval technologies on human labeled keywords. In this paper, we present the idea of semanti ..."
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The retrieval accuracy content-based image retrieval (CBIR) systems is often low since it is usually performed based on the comparison of low level features. Many practical CBIR systems still rely on text retrieval technologies on human labeled keywords. In this paper, we present the idea

Adaptive Image Retrieval using a Graph Model for Semantic Feature Integration

by Jana Urban , et al. , 2006
"... The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selection and integration for effective retrieval. Moreover, to further improve effectiveness, the retrieval model should ideally ..."
Abstract - Cited by 6 (4 self) - Add to MetaCart
ideally incorporate context-dependent feature representations to allow for retrieval on a higher semantic level. In this paper we present a retrieval model and learning framework for the purpose of interactive information retrieval. We describe how semantic relations between multimedia objects based

Semantic Image Retrieval: An Ontology Based Approach

by Umar Manzoor, Mohammed A. Balubaid, Bassam Zafar, Hafsa Umar, M. Shoaib Khan
"... Abstract—Images / Videos are major source of content on the internet and the content is increasing rapidly due to the advancement in this area. Image analysis and retrieval is one of the active research field and researchers from the last decade have proposed many efficient approaches for the same. ..."
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relevant to the user query. The user can give concept / keyword as text input or can input the image itself. Semantic Image Retrieval is based on hybrid approach and uses shape, color and texture based approaches for classification purpose. Mammals domain is used as a test case and its ontology

Adaptive Image Retrieval using a Graph Model for Semantic Feature Integration

by Jana Urban, et al. , 2006
"... The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selection and integration for effective retrieval. Moreover, to further improve effectiveness, the retrieval model should ideally ..."
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ideally incorporate context-dependent feature representations to allow for retrieval on a higher semantic level. In this paper we present a retrieval model and learning framework for the purpose of interactive information retrieval. We describe how semantic relations between multimedia objects based

Extracting Bimodal Representations for Language-Based Image Retrieval

by Thijs Westerveld, Djoerd Hiemstra, Franciska De Jong - In Multimedia ’99, Proceedings of the Eurographics Workshop in Milano Italy, (pp 33—42 , 2000
"... Abstract This paper explores two approaches to multimedia indexing that might contribute to the advancement of text-based conceptual search for pictorial information. Insights from relatively mature retrieval areas (spoken document retrieval and cross-language retrieval) are taken as a starting poin ..."
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Abstract This paper explores two approaches to multimedia indexing that might contribute to the advancement of text-based conceptual search for pictorial information. Insights from relatively mature retrieval areas (spoken document retrieval and cross-language retrieval) are taken as a starting

Towards Adaptive Ontology-Based Image Retrieval

by Johanna Vompras
"... Since the use of large image databases gains in importance nowadays, efficient querying and browsing through image repositories becomes increasingly essential. Compared to text retrieval techniques there are even more problems with image retrieval. Particularly, the semantic gap between low-level vi ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
-level visual features of images and high-level human perception of inferred semantic contents decreases the performance of traditional content-based image retrieval systems. The first important step for the correlation of image data with cognitive processes is the identification of discriminative features

ICICLE: A Semantic-based Retrieval System for Www Images

by Beng Chin Ooi , Heng Tao Shen, Kian Lee Tan
"... Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provide a rich source of image collection from which users can query. Interestingly, the semantics of these images are typically described by their surrounding text. Unfortunately, most WWW i ..."
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image search engines fail to exploit these image semantics and give rise to poor recall and precision performance. In this paper, we present ICICLE (Image ChainNet and Incremental CLustering Engine), a prototype system that we have developed to effectively and efficiently retrieve WWW image. ICICLE has
Results 1 - 10 of 131