Dr. Stéphane Marchand-Maillet Profile

Dr. Stéphane Marchand-Maillet

PostDoc Student at Univ de Geneve

SPIE Involvement:

Author

Proceedings Article | 17 January 2006 Paper

Visual object categorization with indefinite kernels in discriminant analysis framework

Serhiy Kosinov, Stéphane Marchand-Maillet

Proceedings Volume 6073, 607313 (2006) https://doi.org/10.1117/12.642378

KEYWORDS: Matrices, Visualization, Visual analytics, Distance measurement, Multimedia, Image processing, Image analysis, Radon, Chemical elements, Information visualization

Read Abstract +

Proceedings Article | 16 January 2006 Paper

Performance evaluation of a contextual news story segmentation algorithm

Bruno Janvier, Eric Bruno, Stephane Marchand-Maillet, Thierry Pun

Proceedings Volume 6073, 60730X (2006) https://doi.org/10.1117/12.642754

KEYWORDS: Video, Visualization, Semantic video, Classification systems, Image segmentation, Data modeling, Multimedia, Information visualization, Binary data, Machine learning

Read Abstract +

Proceedings Article | 10 January 2003 Paper

DEVA: an extensible ontology-based annotation model for visual document collections

Carlo Jelmini, Stephane Marchand-Maillet

Proceedings Volume 5018, (2003) https://doi.org/10.1117/12.473368

KEYWORDS: Visualization, Human-machine interfaces, Visual process modeling, Multimedia, Systems modeling, Prototyping, Computer architecture, Document management, Computing systems, Standards development

Read Abstract +

Proceedings Article | 20 December 2001 Paper

Flexible image decomposition for multimedia indexing and retrieval

Tatiana Louchnikova, Stephane Marchand-Maillet

Proceedings Volume 4672, (2001) https://doi.org/10.1117/12.452673

KEYWORDS: Image segmentation, Image retrieval, Multimedia, Distance measurement, Computer architecture, Video, Java, Human-machine interfaces, Visualization, Machine vision

Read Abstract +

Proceedings Article | 20 December 2001 Paper

Dynamic multimedia annotation tool

Thomas Pfund, Stephane Marchand-Maillet

Proceedings Volume 4672, (2001) https://doi.org/10.1117/12.452675

KEYWORDS: Multimedia, Video, Databases, Library classification systems, Visualization, Medical imaging, Information visualization, Content based image retrieval, Data storage, Video processing

Read Abstract +

Proceedings Article | 11 October 2000 Paper

MRML: an extensible communication protocol for interoperability and benchmarking of multimedia information retrieval systems

Wolfgang Mueller, Henning Mueller, Stephane Marchand-Maillet, Thierry Pun, David Squire, Zoran Pecenovic, Christoph Giess, Arjen de Vries

Proceedings Volume 4210, (2000) https://doi.org/10.1117/12.403795

KEYWORDS: Telecommunications, Multimedia, Human-machine interfaces, Databases, Content based image retrieval, Analytical research

Read Abstract +

Proceedings Article | 11 October 2000 Paper

Toward a fair benchmark for image browsers

Wolfgang Mueller, Stephane Marchand-Maillet, Henning Mueller, Thierry Pun

Proceedings Volume 4210, (2000) https://doi.org/10.1117/12.403810

KEYWORDS: Multimedia, Monte Carlo methods, Performance modeling, Distance measurement, Stochastic processes, Systems modeling

Read Abstract +

The recent literature has shown that the principal difficulty in multimedia retrieval is the bridging of the semantic gap between the user's wishes and his ability to formulate queries. This insight has spawned two main directions of research Query By Example (QBE) with relevance feedback (i.e. learning to improve the result of a previously formulated query) and the research in query formulation techniques, like browsing or query by sketch. Browsing techniques try to help the user in finding his target image, or an image which is sufficiently close to the desired result that it can be used in a subsequent QBE query. From the feature space viewpoint, each browsing system tries to permit the user to move consciously in feature space and eventually reach the target image. How to provide this functionality to the user is presently an open question. In fact even obtaining objective performance evaluation and comparison of these browsing paradigms is difficult. We distinguish between deterministic browsers, which try to optimize the possibility for the user to learn how the system behaves, and stochastic browsers based on more sophisticated Monte-Carlo algorithms thus sacrificing reproducibility to a better performance. Presently, these two browsing paradigms are practically incomparable, except by large scale user studies. This makes it infeasible for research groups to evaluate incremental improvement of browsing schemes. Moreover, automated benchmarks in the current literature simulate a user by a model derived directly from the distance measures used within the tested systems. Such a circular reference cannot provide a serious alternative to real user tests. In this paper, we present an automatic benchmark which uses user- annotated collections for simulating the semantic gap, thus providing a means for automatic evaluation and comparison of the different browsing paradigms. We use a very precise annotation of few words together with a thesaurus to provide sufficiently smooth behavior of the annotation-based user model. We discuss the design and evaluation of this annotation as well as the implementation of the benchmark in n MRML-compliant script with pluggable modules which allow testing of new interaction schemes (Multimedia Retrieval Markup Language).

Showing 5 of 7 publications

Conference Committee Involvement (3)

Internet Imaging VI

19 January 2005 | San Jose, California, United States

Internet Imaging V

19 January 2004 | San Jose, California, United States

Internet Imaging IV

21 January 2003 | Santa Clara, CA, United States

Keywords/Phrases

Search In:

Publication Years