Showing an uncle in Brazil a picture of the beautiful weather on holiday or sharing a video of the new puppy with a friend in Australia has never been easier. A mobile
phone with camera and Internet access is enough: take a picture or video, upload it on a weblog, picture- or videosharing site such as Myspace, Flickr or YouTube and
the whole world is informed about your latest adventures. The ease with which people create and publish information nowadays has revolutionized traditional media patterns. Up to now these patterns have been characterized by a limited number of sources (e.g., public and commercial media companies) using a limited range of media (e.g., newspapers, radio and television) dispensing information at fixed times. In contrast, people now create information on the fly using technologies like mobile phones and digital cameras and publish it directly on the Internet. People can share what they want, the way they want and users can access this information at a time and in a format of their choice. The potential of this concept is that everyone can become a publisher of information, and by using the Internet for distribution, the material becomes available around the world. Information that normally would not be published by traditional sources, such as a magnificent goal scored in a local soccer
game or a 5-year old opera singer from Russia, now becomes available for anybody. Whereas the big content providers firstly made information available for users, these
users are now the new big content providers. The result is an enormous source of original, specialised and exclusive content.
[1]
Roeland Ordelman,et al.
Dutch speech recognition in multimedia information retrieval
,
2003
.
[2]
Alessandro Vinciarelli.
Effect of recognition errors on information retrieval performance
,
2004,
Ninth International Workshop on Frontiers in Handwriting Recognition.
[3]
Jean Tague-Sutcliffe,et al.
Some Perspectives on the Evaluation of Information Retrieval Systems
,
1996,
J. Am. Soc. Inf. Sci..
[4]
Sebastian Thrun,et al.
Text Classification from Labeled and Unlabeled Documents using EM
,
2000,
Machine Learning.
[5]
Masataka Goto,et al.
Automatic transcription for a web 2.0 service to search podcasts
,
2007,
INTERSPEECH.
[6]
Karen Sparck Jones,et al.
Spoken Document Retrieval for TREC-8 at Cambridge University
,
1998,
TREC.
[7]
Franciska de Jong,et al.
Infolink: Analysis of Dutch Broadcast News and Cross-Media Browsing
,
2005,
2005 IEEE International Conference on Multimedia and Expo.