Yazar "Telceken, Sedat" için listeleme
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A 3D Lifting Based Method Augmented by Motion Compensation for Video Coding
Telceken, Sedat; Görgülü, Şükrü; Gerek, Ömer Nezih (IEEE, 2009)This study introduces a spatio-temporal lifting based algorithm to be used in compression of video signals. The temporal correlation of consecutive frames causes temporal redundancies, which are subject to lifting-like ... -
A 3D Lifting Based Motion Compensation Augmented Video Coder
Telceken, Sedat; Görgülü, Şükrü; Gerek, Ömer Nezih (IEEE, 2009)This study introduces a video compression method that uses spatio - temporal lifting based algorithms to compress the video signals. The temporal correlation of consecutive frames causes temporal redundancies, which are ... -
A 3D lifting based motion compensation augmented video coder [Hareket dengeleme katkili 3B yükseltmeye dayali video kodlayici]
This study introduces a video compression method that uses spatio - temporal lifting based algorithms to compress the video signals. The temporal correlation of consecutive frames causes temporal redundancies, which are ... -
Motion compensated video coder based on block matching method with variable-sized blocks [Degi·şken-büyüklükte blok karşilaştirma yöntemi· i·le hareket dengelemeli· vi·deo kodlayici]
Telceken, Sedat; Doğan, M.; Gerek, Ömer Nezih (2012)This study aims to improve the efficiency of the hybrid (lifting and motion compensation) video compression method by incorporating variable block size for block matching. That hybrid method first separates even and odd ... -
Moving Object Tracking Within Surveillance Video Sequences Based On EDContours
Çıplak, Gökhan; Telceken, Sedat (IEEE, 2015)We present a technique to track moving object in a video sequences created by still camera. Contours of each frame is detected using EDContours. Background model obtained with three point estimation technique is created ... -
A new classification method based on rough sets theory
Çekik, Rasim; Telceken, Sedat (Springer, 2018)Discovering the common attributes of an object is an important problem in classification. The rough sets theory (RST) successfully reveals the relationship between an object, its attributes and classes and helps bring a ... -
New method based on rough set for filling missing value
Çekik, Rasim; Telceken, Sedat (Springer Verlag, 2018)The presence of missing value in a dataset can affect the performance of an analysis system such as classifier. To solve this problem many methods have been proposed in different studies using different theorems, analysis ... -
A video encoder design combining edge-adaptive lifting and scalable block-matching with motion compensation
Telceken, Sedat; Gerek, Ömer Nezih (Tubitak Scientific & Technical Research Council Turkey, 2012)This study aimed to achieve video compression by using a novel lifting-based hybrid encoder that also uses motion compensation. The proposed encoder separates video frames into temporal groups, within which certain frames ...
