Leedeo: Web-crawled academic video search engine

Dongwon Lee, Hung Sik Kim, Eun Kyung Kim, Su Yan, Johnny Chen, Jeongkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


We present our vision and preliminary design toward web-crawled academic video search engine, named as LeeDeo, that can search, crawl, archive, index, and browse "academic" videos from the Web. Our proposal differs from existing general-purpose search engines such as Google or MSN whose focus is on the search of textual HTML documents or metadata of multimedia objects. Similarly, our proposal also differs from existing academic bibliographic search engines such as CiteSeer, arXiv, or Google Scholar whose focus is on the search and analysis of PDF or PS documents of academic papers. As desiderata of such an academic video search engine, we discuss various issues as follows: (1) Crawling: how to crawl, identify, and download academic videos from the Web? (2) Classification: how to determine the so-called academic videos from the rest? (3) Extraction: how to extract metadata and transcripts from the classified videos? (4) Indexing: how to build indexes for search engines? and (5) Interface: how to provide interface for efficient browse and search of academic videos?

Original languageEnglish (US)
Title of host publicationProceedings - 10th IEEE International Symposium on Multimedia, ISM 2008
Number of pages6
StatePublished - 2008
Event10th IEEE International Symposium on Multimedia, ISM 2008 - Berkeley, CA, United States
Duration: Dec 15 2008Dec 17 2008

Publication series

NameProceedings - 10th IEEE International Symposium on Multimedia, ISM 2008


Other10th IEEE International Symposium on Multimedia, ISM 2008
Country/TerritoryUnited States
CityBerkeley, CA

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Electrical and Electronic Engineering


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