In this survey, we argue that using structured vocabularies is capital to the success of image
annotation. We analyze literature on image annotation uses and user needs, and we stress …

This article reports on the novel task of spatial role labeling in natural language text. It
proposes machine learning methods to extract spatial roles and their relations. This work …

This paper presents an experimental comparison of different approaches to learning from
multi-labeled video data. We compare state-of-the-art multi-label learning methods on the …

Medical CBIR (content-based image retrieval) applications pose unique challenges but at
the same time offer many new opportunities. On one hand, while one can easily understand …

Content based image retrieval (CBIR) methods are proposed as alternative or
complementary solutions to keyword-based picture search. However these techniques …

This article presents GAT, a Graphical Annotation Tool based on a region-based
hierarchical representation of images. The proposed solution uses Partition Trees to …

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 …

In this paper, two approaches to utilizing contextual information in semantic image analysis
are presented and comparatively evaluated. Both approaches make use of spatial context in …

In recent years, rapid advances in software and hardware in the field of information
technology along with a digital imaging revolution in the medical domain facilitate the …

This paper details the behavioral evaluation of a qualitative image categorisation and
retrieval approach using semantic features of images. Content based image retrieval and …