A sketch-based approach to video retrieval using qualitative features
K Ghosal, A Namboodiri - Proceedings of the 2014 Indian Conference on …, 2014 - dl.acm.org
K Ghosal, A Namboodiri
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014•dl.acm.orgMotion trajectories extracted from certain videos contain sufficient spatio-temporal
information which can be effectively used to characterize those videos. But the task of
framing text-based queries for such videos in content-based video retrieval systems is very
complicated. Sketch based query is an efficient tool to construct motion-based queries but
perceptual differences like spatial and temporal variability pose serious challenges to query
modelling. In this work we propose a new method of modelling sketch based queries which …
information which can be effectively used to characterize those videos. But the task of
framing text-based queries for such videos in content-based video retrieval systems is very
complicated. Sketch based query is an efficient tool to construct motion-based queries but
perceptual differences like spatial and temporal variability pose serious challenges to query
modelling. In this work we propose a new method of modelling sketch based queries which …
Motion trajectories extracted from certain videos contain sufficient spatio-temporal information which can be effectively used to characterize those videos. But the task of framing text-based queries for such videos in content-based video retrieval systems is very complicated. Sketch based query is an efficient tool to construct motion-based queries but perceptual differences like spatial and temporal variability pose serious challenges to query modelling.
In this work we propose a new method of modelling sketch based queries which attempts to extract the qualitative features of motion by minimizing the perceptual variability. We also develop a multilevel filter for indexing a query, in which the search results are refined at each stage using a cumulative scoring mechanism. Finally, we show the effectiveness of our algorithm on a dataset of real pool videos and a synthetic dataset containing simulated videos having very complex motion trajectories.
ACM Digital LibraryShowing the best result for this search. See all results