TY - GEN
T1 - Indexing multimedia learning materials in ultimate course search
AU - Rajgure, Sheetal
AU - Raghavan, Krithika
AU - Oria, Vincent
AU - Curtmola, Reza
AU - Renfro-Michel, Edina
AU - Gouton, Pierre
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/27
Y1 - 2016/6/27
N2 - Multimedia is the main support for online learning materials and the size of multimedia learning materials is growing with the popularity of online programs offered by Universities. Ultimate Course Search (UCS) is a tool that aims to provide efficient search of course materials. UCS integrates slides, lecture videos and textbook content into a single platform with search capabilities. The keywords extracted from the textbook index and the power-point slides are the basis of the indexing scheme. The slides are indexed on the keywords and the videos are indexed on the slides. The correspondence between the slides and video segments is established using the meta-data provided by the video recording software when available and by image processing techniques. Unlike a classical document search in which the user would be looking where the keywords are found, the search of learning materials in UCS is different because the user is also looking where the search words are better explained. We propose a keyword appearance prioritized ranking mechanism that integrates into the ranking, the location information of the keyword from the slides.
AB - Multimedia is the main support for online learning materials and the size of multimedia learning materials is growing with the popularity of online programs offered by Universities. Ultimate Course Search (UCS) is a tool that aims to provide efficient search of course materials. UCS integrates slides, lecture videos and textbook content into a single platform with search capabilities. The keywords extracted from the textbook index and the power-point slides are the basis of the indexing scheme. The slides are indexed on the keywords and the videos are indexed on the slides. The correspondence between the slides and video segments is established using the meta-data provided by the video recording software when available and by image processing techniques. Unlike a classical document search in which the user would be looking where the keywords are found, the search of learning materials in UCS is different because the user is also looking where the search words are better explained. We propose a keyword appearance prioritized ranking mechanism that integrates into the ranking, the location information of the keyword from the slides.
UR - http://www.scopus.com/inward/record.url?scp=84978807274&partnerID=8YFLogxK
U2 - 10.1109/CBMI.2016.7500250
DO - 10.1109/CBMI.2016.7500250
M3 - Conference contribution
AN - SCOPUS:84978807274
T3 - Proceedings - International Workshop on Content-Based Multimedia Indexing
BT - 2016 14th International Workshop on Content-Based Multimedia Indexing, CBMI 2016
PB - IEEE Computer Society
T2 - 14th International Workshop on Content-Based Multimedia Indexing, CBMI 2016
Y2 - 15 June 2016 through 17 June 2016
ER -