Video Data Mining Information Retrieval Using BIRCH Clustering Technique

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 325)


Nowadays, many applications with massive amount of data caused limitation in data storage capacity and processing time. Traditional data mining is not suitable for this kind of application, so they should be tuned and changed or designed with new algorithms. With the advance technology of multimedia and networking, the digital video contents are widely available over the Web. Thus, it is growing in a faster manner for a wide usage of multimedia applications. It can be downloaded and played using various devices such as cell phones, palms, and laptops with networking technologies such as Wi-Fi, HSDPA, UMTS, and EDGE. The successive Web sites such as Google Video, YouTube, and iTunes are used to download/upload the videos. In such a scenario, a tool would be really required for performing video browsing. Recently, many applications are created for categorizing, indexing, and retrieving the digital video contents. These applications are used to handle large quantity of video contents. The proposed method facilitates the discovery of natural and homogeneous clusters.


Data mining Clustering Video information Image retrieval Image mining BIRCH Hierarchical clustering Clustering comparison 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Sathyabama UniversityChennaiIndia
  2. 2.Department of Computer Science and EngineeringAnna University of TechnologyMaduraiIndia

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