Rapid Localisation and Retrieval of Human Actions with Relevance Feedback

Jones, Simon and Shao, Ling (2013) Rapid Localisation and Retrieval of Human Actions with Relevance Feedback. In: CAIP 2013 - 15th International Conference on Computer Analysis of Images and Patterns, 27th - 29th August 2013, York, UK.

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Abstract

As increasing levels of multimedia data online require more sophisticated methods to organise this data, we present a practical system for performing rapid localisation and retrieval of human actions from large video databases. We first temporally segment the database and calculate a histogram-match score for each segment against the query. High-scoring, adjacent segments are joined into candidate localised regions using a noise-robust localisation algorithm, and each candidate region is then ranked against the query. Experiments show that this method surpasses the efficiency of previous attempts to perform similar action searches with localisation. We demonstrate how results can be enhanced using relevance feedback, considering how relevance feedback can be effectively applied in the context of localisation.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	16 Jun 2015 12:21
Last Modified:	13 Oct 2019 00:35
URI:	http://nrl.northumbria.ac.uk/id/eprint/22946

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