DocumentCode :
710075
Title :
Audio indexing for YouTube
Author :
Al Laham, Mohamad Nour ; Ayass, Imad ; Ghareeb, Majd ; El-Bazzal, Zouhair ; Raad, Mohamad
Author_Institution :
Dept. of Comput. & Commun. Eng., Lebanese Int. Univ., Beirut, Lebanon
fYear :
2015
fDate :
April 29 2015-May 1 2015
Firstpage :
111
Lastpage :
114
Abstract :
The internet is often compared to a sea of information, and searching on the internet is like throwing a net on the surface of the ocean, the search will only include results from the surface of the ocean leaving the depth untouched, naming it the deep web. The deep web includes, among other things, the un-indexed audio contents present today, where the search is based on descriptors accompanying the file rather than the file´ contents. This paper introduces an efficient way for searching audio content. The focus is on using YouTube content.
Keywords :
Internet; social networking (online); Internet; YouTube content; audio indexing; file content; ocean surface; unindexed audio contents; Decision support systems; Indexing; Internet; Sea surface; YouTube; Audio Indexing; Deep Web; Search Engine; Transcription;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information and Communication Technology and its Applications (DICTAP), 2015 Fifth International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4799-4130-8
Type :
conf
DOI :
10.1109/DICTAP.2015.7113181
Filename :
7113181
Link To Document :
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