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Semi-automated Video Logging by Incremental and Transfer Learning

Kim, J and Collomosse, JP (2013) Semi-automated Video Logging by Incremental and Transfer Learning In: Intl. Workshop on Image and Audio Analysis for Multimedia Interactive Services (WIAMIS 2013), 2013-07-01 - ?, Paris.

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Abstract

We describe a semi-automatic video logging system, ca- pable of annotating frames with semantic metadata describ- ing the objects present. The system learns by visual exam- ples provided interactively by the logging operator, which are learned incrementally to provide increased automation over time. Transfer learning is initially used to bootstrap the sys- tem using relevant visual examples from ImageNet. We adapt the hard-assignment Bag of Word strategy for object recogni- tion to our interactive use context, showing transfer learning to significantly reduce the degree of interaction required.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Kim, JUNSPECIFIEDUNSPECIFIED
Collomosse, JPUNSPECIFIEDUNSPECIFIED
Date : 1 July 2013
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 03 Jun 2014 09:54
Last Modified : 09 Jun 2014 13:57
URI: http://epubs.surrey.ac.uk/id/eprint/805261

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