Ayça Müge Sevinç

Learn More
A method for adult content classification and nudity detection is presented. Objective of this method is to classify images into different classes, varying on the degree of adult content. We utilize MPEG-7 descriptors to represent visual information. Skin regions are detected to model adult content more precisely, as well as to eliminate false-positives.(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)
Human character animation has problems of unrealistic motion and unrealistic skin deformation. In this study, we present an application of motion capture data for generating realistic human character animation using anatomically correct skeleton and muscle models. For this purpose, we attach a skeleton model to the motion data and then construct and attach(More)
Ahmet Saracoğlu, Ersin Esen, Medeni Soysal, Tuğrul K. Ateş, Berker Loğoğlu, Mashar Tekin, Talha Karadeniz, Müge Sevinç, Hakan Sevimli, Banu Oskay Acar, Ezgi C. Ozan, Duygu Oskay Onur, Sezin Selçuk, A. Aydın Alatan, Tolga Çiloğlu TÜBİTAK Space Technologies Research Institute Department of Electrical and Electronics Engineering, M.E.T.U. {ahmet.saracoglu,(More)
Concept detection stands as an important problem for many applications like efficient indexing and retrieval in large video archives. In this work, for detection of diverse and distinct concepts a concept detection system (KavTan) that combines a variety of information sources under a single structure is proposed. The proposed system consists of Generalized(More)
  • 1