Information Retrieval Using Image Attribute Possessions

  • D. SaravananEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)


Extracting defined information from the huge data set really challenging task for many researchers, especially this data set like image data’s process is too complex. As image data consist of motion, time, text, audio, pixel difference and more. From this complex data set, extracting the domain knowledge takes more time. This process differs from traditional text mining, because the nature of the data sets. Extracting information from image data, user needs additional knowledge; i.e., users required domain knowledge. This attracts many users concentrate on this field. Currently, many research works carried on this particular domain. Advancement of technology more and more image data is created and uses, for this urgent attention required in the field of image mining. This paper focuses on image mining help of clustering technique. First video data are grouped into frames, from the cleaned frameset process are done client- and server-side operations. The proposed technique works well, and experimental results also verified this.


Video data mining Key frame analysis Clustering technique Image mining Frame comparison Knowledge extraction 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty of Operations & ITICFAI Business School (IBS)HyderabadIndia
  2. 2.The ICFAI Foundation for Higher Education (IFHE) (Deemed-to-be-University u/s 3 of the UGC Act 1956)HyderabadIndia

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