期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：67
期号：3
出版社：Journal of Theoretical and Applied
摘要：Due to the technology development digital media play very vital role in information technology Availability of increasing volumes of non-text information such as audio, image and video, on web it increases the accuracy of the search process. Video data mining plays an important role in efficient video data management for information retrieval. Gaining and storage of video data is an easy task but retrieval of information from video data is a challenging task. Due to this rapid development and increasing demand of users, indexing process must be automated, from the collection of information. Indexing associated with this type of files differ from normal indexing techniques. With the help of that user can find and retrieve the relevant information effectively. Many successful data mining indexing techniques have been developed through academic research and industry .This paper describes the sequential indexing technique and the experimental result verifies that the proposed technique is better than the existing technique.
关键词：Data Mining; Information Retrieval; Knowledge Extraction; Video data mining; Indexing; Clustering; Sequential Indexing; Image Data
