Volume & Issue no: Volume 4, Issue 3, May - June 2015
____________________________________________________________________________________________________
Title: |
Metadata Based Classification and Analysis of Large Scale Web Videos |
Author Name: |
Siddu P Algur, Prashant Bhat |
Abstract: |
Abstract
The astonishing growth of videos on the Internet such as
YouTube, Yahoo Screen, Face Book etc, organizing videos
into categories is of paramount importance for improving
user experience and website utilization. In this information
age, video information is the rapidly sharing by the people
through social media websites such as YouTube, Face Book,
yahoo Screen etc. Different categories of web video are
shared on social websites and used by the billions of users all
over the world. The classification/partitioning of web videos
in terms of length of the video, ratings, age of the video,
number of comments etc, and analysis of this web video as a
unstructured complex data is a challenging task. In this work
we propose effective classification model to classify each
category of web-videos (Ex- ‘Entertainment’, ‘People and
Blogs’, ‘Sports’, ‘News and Politics’, ‘Science and
Technology’ etc) based on other web metadata attributes as
splitting criteria. An attempt is made to extract metadata
from web videos. Based on the extracted metadata, web videos
are classified/partitioned into different categories by applying
data mining classification algorithms such as and Random
Tree and J48 classification model. The classification results
are compared and analyzed using cost/benefit analysis. Also
the results demonstrate classification of web videos depends
largely on available metadata and accuracy of the
classification model. Classification/partitioning of web-based
videos are important task with many applications in video
search and information retrieval process. However, collecting
metadata required for classification model may be
prohibitively expensive. The experimental difficulties arise
from large data diversity within a category is pitiable of
metadata and dreadful conditions of web video metadata.
Keywords: Web Video Mining, Web Video Metadata,
Random Tree Algorithm, J48 Algorithm, Web Video
Categories. |
Cite this article: |
Siddu P Algur, Prashant Bhat , "
Metadata Based Classification and Analysis of Large Scale Web Videos" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
111-120 , ISSN 2278-6856.
|
Full Text [PDF] Back to Current Issue |
NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week.