6533b82ffe1ef96bd1295d60

RESEARCH PRODUCT

UCS: Ultimate course search

Pierre GoutonSheetal RajgureJames GellerKrithika RaghavanHardik DasadiaSai Shashank DevannagariVincent OriaEdina Renfro-michelSoon Ae ChunReza Curtmola

subject

Scheme (programming language)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologycomputer.software_genreCourse (navigation)[SPI]Engineering Sciences [physics]Software[ SPI.NRJ ] Engineering Sciences [physics]/Electric power[ SPI ] Engineering Sciences [physics]ComputingMilieux_COMPUTERSANDEDUCATION0202 electrical engineering electronic engineering information engineeringSegmentationcomputer.programming_languageMultimediabusiness.industry4. Education[SPI.NRJ]Engineering Sciences [physics]/Electric powerSearch engine indexing020207 software engineeringImage segmentation[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsMetadata020201 artificial intelligence & image processingbusinesscomputer

description

International audience; In this system prototype demonstration we present, Ultimate Course Search (UCS), a learning tool developed to provide students ways to efficiently search electronic educational materials. UCS integrates slides, lecture videos and textbooks into a single platform. The keywords extracted from the textbooks and the slides are the basis of the indexing scheme. For the videos, UCS relies on slide transitions and metadata to establish the correspondence between slides and video segments. The video segmentation is based on the slides being presented using the meta-data provided by the video recording software and image processing techniques.

https://doi.org/10.1109/cbmi.2016.7500242