An automatic hierarchical image classification scheme
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
CEM - A Conceptual Email Manager
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Formal Concept Analysis for Domain-Specific Document Retrieval Systems
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
TOSCANA - a Graphical Tool for Analyzing and Exploring Data
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Feature extraction and evaluation using edge histogram descriptor in MPEG-7
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
DVDSleuth: A Case Study in Applied Formal Concept Analysis for Navigating Web Catalogs
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
An intelligent user interface for browsing and searching MPEG-7 images using concept lattices
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
FCA-based browsing and searching of a collection of images
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
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Content-based search and browsing of image collections is a difficult problem. This paper argues that Formal Concept Analysis (FCA) is ideally suited to this task and engineers a solution to demonstrate the idea. In general, standard keyword search is problematic when dealing with images. First, the value and names of the metadata are often unknown. Second, image search is about similarity in the sense of combinations of location, shape, luminance etc. These properties are hard to evaluate and unsuited to vector-space models of similarity used in information retrieval. This paper presents a Web-based FCA system for browsing MPEG-7 images and user evaluation results. The system is called IMAGE-SLEUTH. The trial collection that we use to profile IMAGE-SLEUTH are image objects based on a collection of items from the popular game The Sims 2. User testing was performed on 29 university students from various disiplines. The Sims data set is ideal for two reasons. First, The Sims 2 imposes an interesting information space over the items which are annotated with scales such as needs and function, as well as the capacity to enhance the Sim character's skill: objects which allow access to other skills such as logic, creativity, charisma. This information space is revealed by the concept lattice. Second, the Sims items can be used to demonstrate the value of search via image descriptors such as shape, colour and luminance. MPEG-7 is therefore an important platform for image annotation since it provides for the information space induced by the game playing attributes as well as visual descriptors. This paper describes the process of image extraction and a description of the Web-based image browser - IMAGE-SLEUTH.