Skip to main content

Video Querying

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 162 Accesses

Synonyms

Image querying; Near-duplicate video retrieval; Query by example; Similarity in video

Definition

Video querying is a way to issue a query for retrieving video data from a database without explicitly expressing the contents of the video-in-search by high-level semantics, such as keywords. It, instead, expects that a user issues a query as a video segment in hand. The system will then search and retrieve similar video data from the database. Since video data is composed of sequences of still-frame images, the search for similar video data in a database necessarily requires a huge computation cost when comparing the query with the data in the database. Thus, the main issue when processing a video query is to reduce both the computation time for the search itself and for the comparison of image sequences, to evaluate the similarity of the video segments. Video querying is an efficient way to issue a query when a user already has in hand an exact or an extremely relevant segment of...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Aghbari Z, Kaneko K, Makinouchi A. Content-trajectory approach for searching video databases. IEEE Trans Multimed. 2003;5(4):516–31.

    Article  Google Scholar 

  2. Chang S-F, Chen W, Meng HJ, Sundaran H, Zhong D. VideoQ: an automated content based video search system using visual cues. In: Proceedings of the 5th ACM International Conference on Multimedia; 1997. p. 313–24.

    Google Scholar 

  3. Dimitrova N, Abdel-Mottaleb M. Content-based video retrieval by example video clip. In: Proceedings of the Storage and Retrieval for Image and Video Database; 1997. p. 59–70.

    Google Scholar 

  4. Kashino K, Kurozumi T, Murase H. A quick search method for audio and video signals based on histogram pruning. IEEE Trans Multimed. 2003;5(3):348–57.

    Article  Google Scholar 

  5. Lienhart R, Effelsberg W, Jain R. VisualGREP: a systematic method to compare and retrieve video sequences. Multime Tool Appl, Kluwer, Hingham, MA. 2000;10(1):47–72.

    Article  Google Scholar 

  6. Lienhart R, Kuhmünch C, Effelsberg W. On the detection and recognition of television commercials. In: Proceedings of the International Conference on Multimedia Computing and Systems; 1997. p. 509–16.

    Google Scholar 

  7. Liu J-J, Huang Z, Cai H-Y, Shen H-T, Ngo C-W, Wang W. Near-duplicate video retrieval: current research and future trends. ACM Comput Surv. 2013;45(4):44:1–44:23.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ichiro Ide .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Ide, I. (2018). Video Querying. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1030

Download citation

Publish with us

Policies and ethics