Sami Laakso

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We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing maps (TS-SOMs). Given a set of reference images, PicSOM is able to retrieve another set of images which are similar to the given ones. Each TS-SOM is formed with a di€erent image(More)
Self-Organising Maps (SOMs) can be used in implementing a powerful relevance feedback mechanism for Content-Based Image Retrieval (CBIR). This paper introduces the PicSOM CBIR system, and describes the use of SOMs as a relevance feedback technique in it. The technique is based on the SOM's inherent property of topology-preserving mapping from a(More)
We have designed and evaluated a novel multiplayer game system using just one top-view camera. With the proposed system, player avatar movement can be directly mapped to the physical movement of the player, accompanied by additional hand gestures triggering more complex actions. This article presents a study of the concepts of body-driven multiplayer games(More)
Content-based image retrieval (CBIR) is a new but in recent years widely-adopted method for nding images from vast and unanno-tated image databases. CBIR is a technique for querying images on the basis of automatically-derived features such as color, texture, and shape directly from the visual content of images. For the development of eeec-tive image(More)
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