Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
From reading to retrieval: freeform ink annotations as queries
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Ein typ- und regelgesteuertes Autorensystem
Hypertext/Hypermedia, Tagung der GI, SI und OCG
A study of digital ink in lecture presentation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Speech, ink, and slides: the interaction of content channels
Proceedings of the 12th annual ACM international conference on Multimedia
Lucene in Action, Second Edition: Covers Apache Lucene 3.0
Lucene in Action, Second Edition: Covers Apache Lucene 3.0
Electures-Wiki—Toward Engaging Students to Actively Work with Lecture Recordings
IEEE Transactions on Learning Technologies
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With the increasing use of lecture recordings, content providers are facing the challenge to make electronic lecture materials both easily accessible and searchable. Therefore powerful search engines need to be implemented that allow users to easily retrieve documents fulfilling their information needs. While there has been a lot of research in the domain of text search, special characteristics of lecture recording documents have not yet gotten much attention. Lecture recording documents differ from text documents such as papers, scripts or web pages because they usually do not contain running texts but rather listings and enumerations. Additionally, lecture recording documents contain time-based data such as an audio or video stream of the lecturer as well as handwritten annotations. Analyzing these additional data streams leads to an improvement of the search process. Our novel approach to analyze annotations of lecture recording documents improves document relevance estimation during the search in lecture materials. Hence, technology had been developed to make the contents and special properties of lecture recordings accessible and searchable. We describe key issues encountered during these developments and present experimental results of our search engine which takes into account the special characteristics of lecture recording documents during the indexing process. Searching our archive of over 15,000 files only takes a few milliseconds and enables us to offer a search-as-you-type user interface, query auto-completion and visual browsing.