基于关系的高效多媒体分析方法

2008 Third International Workshop on Semantic Media Adaptation and Personalization Pub Date : 2008-12-15 DOI:10.1109/SMAP.2008.39

E. Spyrou, Giorgos Tolias, Phivos Mylonas

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引用次数: 0

摘要

在本文中，我们介绍了通过引入和利用上下文关系来识别多媒体文档中高级概念的研究工作。一个概念本体被引入，作为利用图像的视觉背景的手段，在高级概念和区域类型方面，他们组成。这些特征的有意义的组合将导致视觉上下文的计算效率处理和中级特征的提取，从而实现语义多媒体分析的最终目标。评估结果在一个中等大小的数据集上呈现，该数据集由1435张图像、25种区域类型和6个来自感兴趣的海滩域的高级概念组成。

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A Relation-Based Contextual Approach for Efficient Multimedia Analysis

In this paper we present our research work on the identification of high-level concepts within multimedia documents through the introduction and utilization of contextual relations. A conceptual ontology is introduced, as the means of exploiting the visual context of images, in terms of high-level concepts and region types they consist of. A meaningful combination of these features results in a computationally efficient handling of visual context and extraction of mid-level characteristics towards the ultimate goal of semantic multimedia analysis. Evaluation results are presented on a medium-size dataset, consisting of 1435 images, 25 region types and 6 high-level concepts derived from the beach domain of interest.

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2008 Third International Workshop on Semantic Media Adaptation and Personalization

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