Advanced semantic description of multimedia data significantly improves representing, labeling, and retrieving multimedia-based contents. In this paper we present an intelligent framework for attaching semantic annotations to image contents based on the extraction of elementary low-level features, user’s relevance feedback and the usage of ontology knowledge. This approach facilitates image ann...

A multimedia system for semi-automated image annotation, Show&Tell combines advances in speech recognition, natural language processing, and image understanding. Show&Tell differs from map annotation systems and has tremendous implications for situations where visual data must be coreferenced with text descriptions, such as medical image annotation and consumer photo annotation. S how&Tell take...

Annotation of digital multimedia comprises a range of different application scenarios, supported media and annotation formats, and involved techniques. Accordingly, recent annotation environments provide numerous functions and editing options. This results in complexly designed user interfaces, so that human operators are disoriented with respect to task procedures and the selection of accurate...

Abstract Collaborative annotation techniques for digital multimedia contents have found their way into a vast amount of areas of daily use as well as professional fields. Attendant research has issued a large number of research projects that can be assigned to different specific subareas of annotation. These projects focus on one or only few aspects of digital annotation. However, the whole ann...

Collaboration on annotation projects is in practice mostly done by people sharing the same room. However, several models for online cooperative annotation over the internet are possible. This paper explores and evaluates these, and reports on the use of peer-to-peer technology to extend a multimedia annotation tool (ELAN) with functions that support collaborative annotation.

Annotation of digital multimedia comprises a range of different application scenarios, supported media and annotation formats, and involved techniques. Accordingly, recent annotation environments provide numerous functions and editing options. This results in complexly designed user interfaces, so that human operators are disoriented with respect to task procedures and the selection of accurate...

We introduce a common architecture to store semantically enriched multimedia material that can be accessed by intelligent engines able to automatically assemble video clips and build textbased hypermedia. The core of the architecture is the Multimedia Database (MMDB), which stores a repository of multimedia information (i.e. text, images, speech, audio, etc.) and its annotation with respect to ...

Multimedia Annotation Through Search and Mining Emily K. Moxley Multimedia annotation represents an application of computer vision that presents the recognition of objects or ideas related to a multimedia document as a text label. Typically, annotation algorithms depend on complicated feature extraction and matching algorithms that attempt to learn individual annotation models. This work, howev...

Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-anno...