Amanote Research

Amanote Research

    RegisterSign In

Handling Temporal Heterogeneous Data for Content-Based Management of Large Video Collections

Multimedia Tools and Applications - Netherlands
doi 10.1007/s11042-006-0042-2
Full Text
Open PDF
Abstract

Available in full text

Categories
Media TechnologyComputer NetworksHardwareCommunicationsArchitectureSoftware
Date

October 18, 2006

Authors
Nicolas Moënne-LoccozBruno JanvierStéphane Marchand-MailletEric Bruno
Publisher

Springer Science and Business Media LLC


Related search

Searching and Finding in Large Video Collections

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Object Mining for Large Video Data

2011English

Using Texture to Analyze and Manage Large Collections of Remote Sensed Image and Video Data

Applied Optics
2004English

Spatio-Temporal Scene Level Error Concealment for Shape and Texture Data in Segmented Video Content

2006English

Fast Content-Based Packet Handling for Intrusion Detection

2001English

Ranking Large Temporal Data

Proceedings of the VLDB Endowment
Computer Science
2012English

Temporal Data Management

IEEE Transactions on Knowledge and Data Engineering
Computational TheoryComputer Science ApplicationsInformation SystemsMathematics
1999English

Shearlet Based Video Fingerprint for Content-Based Copy Detection

Journal of Signal and Information Processing
2016English

Video Quality Prediction Based on the Spatial and Temporal Classification of the Uncompressed Content

2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy