We present a general framework for cross-media annotation that can be used to support the many different forms and uses of annotation. Specifically, we discuss the need for digital annotation of printed materials and describe how various technologies ...

Video annotation is a promising and essential step for content-based video search and retrieval. Most of the state-of-the-art video annotation approaches detect multiple semantic concepts in an isolated manner, which neglect the fact that video concepts ...

Video recording and analysis is an important tool for user experience researchers. This project aimed to learn more about how an interactive video annotation method might affect video analysis. Ink annotations on video were used as the annotation method, ...

Immersive electronic books (IEBooks) for surgical training will let surgeons explore previous surgical procedures in 3D. The authors describe the techniques and tools for creating IEBook.

This work deals with the problem of event annotation in social networks. The problem is made difficult due to variability of semantics and due to scarcity of labeled data. Events refer to real-world phenomena that occur at a specific time and place, ...

Semantic-based storage and retrieval of multimedia data requires accurate annotation of the data. Annotation can be done either manually or automatically. The retrieval performance of the manual annotation based approaches is quite good, as compared ...

Video annotation is very important for video management, such as video retrieval. Despite continuous efforts in inventing new annotation algorithms, the annotation performance is usually unsatisfactory, and the annotation vocabulary is still limited ...

Annotating function of genes accurately is one of the most important tasks in molecular biology and medical sciences. The new sequencing technology, called the next generation sequencing technology, made sequencing the whole genomes possible with a fraction ...

In this paper we describe a general information fusion algorithm that can be used to incorporate multimodal cues in building user-defined semantic concept models. We compare this technique with a Bayesian Network-based approach on a semantic concept ...

The preservation of the privacy of persons mentioned in text requires the ability to automatically recognize and identify names. Named entity recognition is a mature field and most current approaches are based on supervised machine learning techniques. ...

In prior work we reported on the design of a social annotation system, SparTag.us, for use in sensemaking activities such as work-group reading and report writing. Previous studies of note-taking systems have demonstrated behavioral differences in social ...

The structure of a document has an important influence on the perception of its content. Considering scientific publications, we can affirm that by making use of the ordinary linear layout, a well organized publication, following a "red wire", will always ...

In this paper we propose an approach to automatically extract annotations by taking into account context in order to obtain a better representation of the document content. Our context is modelled by contextual relations built up from both the structure ...

For the manual semantic markup of documents to become wide-spread, usersmust be able to express annotations that conform to ontologies (orschemas) that have shared meaning. However, a typical user is unlikelyto be familiar with the details of the terms ...

In this paper, we present a novel framework on personalized retrieval of sports video, which includes two research tasks: semantic annotation and user preference acquisition. For semantic annotation, web-casting texts which are corresponding to sports ...

Research projects, assistive technology, and individuals all create metadata in order to improve Web accessibility for visually impaired users. However, since these projects are disconnected from one another, this metadata is isolated in separate tools, ...

In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ImageCLEF in 2005, 2006, and 2007. Image annotation can be used to access ...

The eCampus development environment was created in an interdisciplinary project at the University of Applied Sciences Fulda. Today it is a fully webbased application for the easy creation of E-Learning modules complying the SCORM standard. The webbased, ...

This paper presents our basic approach to creating Proposition Bank, which involves adding a layer of semantic annotation to the Penn English TreeBank. Without attempting to confirm or disconfirm any particular semantic theory, our goal is to provide ...