Content-based video retrieval is emerging as an important part in the process of utilization of various multimedia documents. In this report we present a novel system for the automatic indexing and content-based retrieval of multimedia documents. We chose the domain of Formula 1 sport videos because the manual annotation of Formula 1 races is complicated and time consuming. Our system uses mult...

Automatic semantic annotation of video streams allows both to extract significant clips for production logging and to index video streams for posterity logging. Automatic annotation for production logging is particularly demanding, as it is applied to non-edited video streams and must rely only on visual information. Moreover, annotation must be computed in quasi real-time. In this paper, we pr...

Broadcasters usually envision two basic applications for video databases: Live Logging and Posterity Logging. The former aims at providing effective annotation of video in quasi-real time and supports extraction of meaningful clips from the live stream; it is usually performed by assistant producers working at the same location of the event. The latter provides annotation for later reuse of vid...

A system for the automatic creation of Pictorially Enriched Ontologies is presented, that is ontologies for context-based video digital libraries, enriched by pictorial concepts for video annotation, summarization and similarity-based retrieval. Extraction of pictorial concepts with video clips clustering, ontology storing with MPEG-7, and the use of the ontology for stored video annotation are...

As the multimedia content over the internet is increasing day by day, efficient methods for retrieval of these huge amount of data is required. Video annotation is one of the widely used methods to analyze and retrieve these huge video data. The process of video annotation is complicated as it requires a large amount of processing to analyze the contents in the video. This paper introduces a vi...

This paper presents a novel system, which uses a set of video cameras to support the manual annotation of object interaction and person to object interaction within smart environments. The DANTE (Dynamic ANnotation system for smart Environments) system uses two stereo-based cameras to monitor and track objects, which are tagged with inexpensive paper based fiducial markers. Offline, the DANTE a...

Flexible and effective indexing of video data so as to render it useful in automated inference and datadriven knowledge acquisition is a key problem in knowledge engineering. In this paper, we present an approach to annotation of a video database using a domain specific ontology, a domain independent video ontology that encodes the structure and attributes of video data. The two ontologies are ...

This paper presents a video annotation system which enables efficiently to annotate video footage. It provides automatic feature extraction methods which support the user in navigation through and structuring of the video content. An annotation at image region level is supported by object redetection and tracking functionalities. The result content description of the footage is saved in MPEG-7.

Video analysis in professional sports is a relatively new assistive tool for coaching. Currently, manual annotation and analysis of video footage is the modus operandi. This is a laborious and time consuming process, which does not afford a cost effective or scalable solution as the demand and uses of video analysis grows. This paper describes a method for automatic annotation and segmentation ...

In order to enable high-level semantics-based video annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from film production to determine when a scene change occurs in film. We examine different rules and conventions follow...