Ugur Güdükbay

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This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing(More)
Early prototype multimedia database management systems used the query-by-example paradigm to respond to user queries. Users needed to formulate their queries by providing examples or sketches. The query-by-keyword paradigm, on the other hand, has emerged due to the desire to search multimedia content in terms of semantic concepts using keywords or sentences(More)
In this paper we present an instance based machine learning algorithm and system for real-time object classification and human action recognition which can help to build intelligent surveillance systems. The proposed method makes use of object silhouettes to classify objects and actions of humans present in a scene monitored by a stationary camera. An(More)
This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) personality model. Each personality trait has an associated nominal behavior. Specifying an agent's personality leads to an automation of(More)
Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized histograms, (i.e. distance, angle, and color histograms) to store feature-based information that is extracted from objects. The objects(More)
We develop a Web-based video database management system, named BilVideo, providing an integrated support for both spatio-temporal and semantic (keyword, event/activity and category-based) queries on video data. In this paper, we introduce the architecture of BilVideo and its SQL-like textual video query language that has the capability to handle a broad(More)
There is an accelerating demand to access the visual content of documents stored in historical and cultural archives. Availability of electronic imaging tools and effective image processing techniques makes it feasible to process the multimedia data in large databases. A framework for content-based retrieval of historical documents in the Ottoman Empire(More)
The paper proposes a novel method to detect fire and/or flame by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker are detected by analyzing the video in the wavelet domain. Periodic behavior in flame boundaries is detected by performing a temporal wavelet(More)
Considering the complexity and huge volume of image and or video data e cient methods need to be developed for querying multimedia databases A well known technique used for querying multimedia data is query by feature e g color shape texture size of the objects residing in images and or video frames In this paper we propose a tool for extracting objects(More)
1047-3203/$ see front matter Published by Elsevier doi:10.1016/j.jvcir.2010.07.001 * Corresponding author. E-mail addresses: kucuktunc.1@osu.edu (O. Kü edu.tr (M. Bas tan), gudukbay@cs.bilkent.edu.tr (U. Gü edu.tr (Ö. Ulusoy). 1 This work was done while the author was at Bilke We propose a video copy detection framework that detects copy segments by fusing(More)