Medeni Soysal

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As a recent trend some TV stations prefer to use animated logos, therefore the detection of the presence of an animated TV logo emerges as a new requirement for certain applications. In this paper we present a novel method for the detection of animated television logos in real-time. The main idea is to handle all frames of the animated logo in a unified(More)
Identification of people in surveillance videos is an important problem and MPEG-7 visual descriptors are utilized for such recognition in a regional manner, which result from independently moving subjects in front of stationary cameras. While background modeling is achieved by using a hierarchical non-parametric Parzen-window approach, the resulting(More)
Concept detection stands as an important problem for efficient indexing and retrieval in large video archives. In this work, the KavTan System, which performs high-level semantic classification in one of the largest TV archives of Turkey, is presented. In this system, concept detection is performed using generalized visual and audio concept detection(More)
This article introduces a novel method for 3D object recognition, which utilizes well-known local features in a more efficient way, without any reliance on partial or global planarity. Geometrically consistent local features, which form the crucial basis for object recognition, are identified using affine 3D geometric invariants. The utilization of 3D(More)