LAVES: An instant mobile video search system based on layered audio-video indexing

Wu Liu, Feibin Yang, Yongdong Zhang, Qinghua Huang, Tao Mei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This demonstration presents an innovative instant mobile video search system based on layered audio-video index- ing, called "LAVES." Through the system, users can dis- cover videos by simply pointing their phones at a screen to capture a very few seconds of what they are watching. Unlike most existing mobile video search applications which simply send the original video query to the cloud, the pro- posed mobile system is one of the first attempts towards instant and progressive video search leveraging the light- weight computing capacity of mobile devices. The system is able to index large-scale video data using the layered audio- video indexing technique on the cloud, as well as extract light-weight joint audio-video signatures in real time and perform bipartite-graph-based progressive search process on the devices. On a 600 hours video dataset, the system can outperform the state-of-the-arts by achieving 90.79% preci- sion when the query video is less than 10 seconds.

Original languageEnglish
Title of host publicationMM 2013 - Proceedings of the 2013 ACM Multimedia Conference
Pages409-410
Number of pages2
DOIs
StatePublished - 2013
Externally publishedYes
Event21st ACM International Conference on Multimedia, MM 2013 - Barcelona, Spain
Duration: 21 Oct 201325 Oct 2013

Publication series

NameMM 2013 - Proceedings of the 2013 ACM Multimedia Conference

Conference

Conference21st ACM International Conference on Multimedia, MM 2013
Country/TerritorySpain
CityBarcelona
Period21/10/1325/10/13

Keywords

  • Layered audio-video indexing
  • Mobile video search

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