Search on Audio-visual content using Peer-to-peer Information Retrieval (SAPIR)
- Project Identification
- Project Period
- 12/2006 - 5/2009
- Investor / Pogramme / Project type
- 6th Specific RTD Programme
- MU Faculty or unit
- Faculty of Informatics
Web search is dominated today by search giants like Google, Yahoo or MSN that deploy a centralized approach to indexing and utilize text only indexes enriched by page rank algorithms. Consequently, while it is possible to search for audio-visual content, it is limited to associated text and metadata annotations.Supportingreal content-based audio-visual search requires media specific understanding and extremely high CPU utilization which would not scale in today´s centralized solutions.
SAPIR aims at breaking this technological barrier by developing a large-scale distributed P2P architecture that will make it possible to search in audio-visual content using the query by example paradigm. ...