Abstract--In this paper, we describe an object-based video compression scheme based on the derivation and efficient coding of motion boundaries. First, we recursively identify a sm...
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...
This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segment...
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...