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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 507))

Abstract

Owing to the rapid growth of multimedia technology, multimedia information is easily accessed by any user and the same information construction and distribution are also very easy. Due to technology development, the multimedia information increases due to variety of factors: it can be uploaded by unprofessional users nowadays. Due to the low quality and the large number of duplicated video files available, this leads video extraction more and more complex. The general method of representing each video segment is shot that consists of series of frames. Among this series, the input frame based shot method is specifically assisted for searching the video content as clients provided image query/search where an image will be matched with the indexed key frames with assist of resemblance distance. As a result, the key frames selection is most significant, and several methods are used to automate the process. This paper proposes a new technique for key frame selection. The proposed method shows significantly good and the experiments prove the above statement.

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References

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Correspondence to D. Saravanan .

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Saravanan, D. (2017). Effective Video Data Retrieval Using Image Key Frame Selection. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_15

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  • DOI: https://doi.org/10.1007/978-981-10-2471-9_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2470-2

  • Online ISBN: 978-981-10-2471-9

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