Tracking Scale-Space Blobs for Video Description

Authors:
Rémi Mégret;Jean-Michel Jolion
Affiliations:
-;-
Venue:
IEEE MultiMedia
Year:
2002

Citing 9
Cited 5

Motion recovery for video content classification

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An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and Its Evaluation for the Purpose of Visual Tracking

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Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision
Statistical Motion-Based Retrieval with Partial Query

VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
On the Handling of Spatial and Temporal Scales in Feature Tracking

SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
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Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding

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Object tracking and identification in video streams with snakes and points

PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III

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Abstract

The authors present a low-level estimation method based on simple features tracking as a first step to indexing audio-visual video sequences. The method for video motion characterization uses scale-space blobs to track distinctive tokens, giving priority to temporal structure instead of spatial segmentation.