All posts by silvia

Conference Articles

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Standards and Standard Contributions

2005: Video Blogging: Content to the Max

Conrad Parker, Silvia Pfeiffer, “Video Blogging: Content to the Max,” IEEE Multimedia, vol. 12, no. 2, pp. 4-8, Apr. 2005, doi:10.1109/MMUL.2005.41 .

Abstract:

The lure of video blogging combines the ubiquitous, grassroots, Web-based journaling of blogging with the richness of expression available in multimedia. Some claim that video blogging will be an important force in a future world of video journalism and a powerful technical adjunct to our existing televised news sources. Others point to the huge demands it imposes on networking resources, the lack of hard standards, and the poor usability of current video blogging systems as indicators that it?s doomed to fail.

Like any nascent technology, video blogging has many unsolved problems. The field, however, is vibrant, the goals are fairly clear, and the challenges they pose to multimedia researchers are exciting indeed.

2005: Meta Data Extraction from Linguistic Meeting Transcripts for the Annodex File Format

Claudia Schremmer and Silvia Pfeiffer, “Meta Data Extraction from Linguistic Meeting Transcripts for the Annodex File Format”, IEEE Computer Society, Proceedings for the 11th Intl. Conference on Multi-Media Modelling January 2005, Melbourne, Australia pp. 405 – 412.

Abstract:

Semantic interpretation of the data distributed over the Internet is subject to major current research activity. The Continuous Media Web (CMWeb) extends the World Wide Web to time-continuously sampled data such as audio and video in regard to the searching, linking, and browsing functionality. The CMWeb technology is based the file format Annodex which streams the media content interspersed with markup in the Continuous Media Markup Language (CMML) format that contains information relevant to the whole media file, e.g., title, author, language as well as time-sensitive information, e.g., topics, speakers, time-sensitive hyperlinks. The CMML markup may be generated manually or automatically. This paper investigates the automatic extraction of meta data and markup information from complex linguistic annotations, which are annotated recordings collected for use in linguistic research. We are particularly interested in annotated recordings of meetings and teleconferences and see automatically generated CMML files and their corresponding Annodex streams as one way of viewing such recordings. The paper presents some experiments with generating Annodex files from hand-annotated meeting recordings.