Learn 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)
With the advances in information technology, the amount of multimedia data captured, produced, and stored is increasing rapidly. As a consequence, multimedia content is widely used for many applications in today’s world, and hence, a need for organizing this data, and accessing it from repositories with vast amount of information has been a driving stimulus(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)
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 A framework for content-based retrieval of historical documents in the Ottoman Empire(More)
Ediz Şaykol Muhammet Baştan Uğur Güdükbay Özgür Ulusoy Bilkent University Department of Computer Engineering 06800 Bilkent, Ankara, Turkey E-mail: gudukbay@cs.bilkent.edu.tr Abstract. The huge amount of video data generated by surveillance systems necessitates the use of automatic tools for their efficient analysis, indexing, and retrieval. Automated access(More)
A prototype video database management system, which we call BilVideo, is presented. BilVideo provides an integrated support for queries on spatio-temporal, semantic and low-level features (color, shape, and texture) on video data. BilVideo does not target a specific application, and thus, it can be used to support any application with video data. An example(More)
Considering the fact that most of the multimedia database systems include querying by object features, a novel approach for color and shape querying and retrieval is proposed. The approach is histogram-based and it is supported by an auxiliary object extraction tool in the query-by-feature component of a multimedia database system. The object extraction(More)
The growing prevalence of multimedia systems is bringing the need for efficient techniques for storing and retrieving images into and from a database. In order to satisfy the information need of the users, it is of vital importance to effectively and efficiently adapt the retrieval process to each user. Considering this fact, an application for querying the(More)