Candemir Toklu

Automatic key-frame selection for content-based video indexing and access

This paper addresses key-frame selection for content-based video indexing and access. The proposed key-frame selection method is aimed to operate in real-time irrespective of the available computation resources and memory. Hence, we provide three solutions to content-based key-frame selection with different costs, and suggests three operation levels. The suggested key-frame selection method has two major parts: (i) segmentation of the video into shots; (ii) analysis of the motion and color activity within each video shot to selected additional frames. We also prove a new color based approach to key-frame selection and discuss how to fuse color and motion based key-frame selection results.

VideoTalk: a collaborative environment for video content discussion

We discuss VideoTalk, a new system for permitting different people from different places to share their views about video content. Several unique features of this application include the shared video player with multi-point VCR control, dynamic speed adjustment, and ability to show dynamic object markers. The video player window of the VideoTalk acts as a shared whiteboard with tele-pointer support. We also propose a new method for automatically computing the dynamic object markers given the shape of the object in the starting and ending frames.

PERSONALIZED MEDICAL WORKFLOW THROUGH SEMANTIC BUSINESS PROCESS MANAGEMENT

Business Process Management (BPM) systems are becoming the runtime governance of emerging Service Oriented Architecture (SOA) applications. They provide tools and methodologies to design and compose Web services that can be executed as business processes and monitored by BPM consoles. Ontology, as a formal declarative knowledge representation model, provides semantics upon which machine understandable knowledge can be obtained, and as a result, it makes machine intelligence possible. By combining ontology and BPM, Semantic Business Process Management (SBPM) provides a novel approach to align business processes from both business perspective and IT perspective. Current healthcare systems can adopt SBPM to make themselves ubiquitous, adaptive, intelligent, and then serve patients better. Our ontology makes our vision of personalized healthcare possible by capturing all necessary knowledge for a complex personalized healthcare scenario including patient care, insurance policies, drug prescriptions, and compliances. This paper presents a hospital workflow management system that allows users, from physicians to administrative assistants, to create context-aware medical workflows, and execute them on-the-fly with the support from an ontological knowledge base.

Semiautomatic dynamic video object marker creation

In this paper, we propose a method for tracking a video object in an ordered sequence of two-dimensional images, where the outcome is the trajectory of the video object throughout the time sequence of images. This method is designed to run in real-time in a synchronous video collaboration environment, and is used for producing dynamic object annotations for enhanced video content understanding. A dynamic object is one whose location or size in the video frame constantly changes, due to the camera motion, its own motion, or both. We suggest a novel method for finding the trajectory of the object in the intermediate frames given the locations and shapes of the object in two end frames. In addition to the shape and location information of the object, its texture information in the end frames is used to predict the location and its search space in the intermediate frames.

Dynamic markers for collaborative discussion on video content

In this paper we propose an interactive tool for generating dynamic markers for video object in a distributed video content discussion environment. We address interactive video object selection and real-time video object marker generation which is supported by an automatic object tracking method. The proposed system satisfies the following criteria: (i) automatic object tracking has to be in real- time; (ii) the video object selection has to be carried out with minimal effort and knowledge; (iii) the user has to be notified by the system when the automatic object tracking method encounters problems: and (iv) interactive rectification of the object marker has to be instantaneous and direct. Our experimental results indicate that the proposed tool is very effective and intuitive in creating dynamic object markers for video content on the fly. Automatic object tracking method yields reliable results on a desktop PC in real-time, even with busy background and/or partial occlusion.