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In this paper, we propose two video fingerprinting methods that are robust to both geometric and non-geometric modifications on content. Both of the proposed methods are based on computation of moment invariants as features from concentric circular regions. The two methods differ in the way they capture appearance and motion information from video. In one method, we capture motion information by computing...
In this paper, we study the collision property of one of the robust hash functions proposed. This method was originally proposed for robust hash generation from blocks of image data and is based on projection of image block data on pseudo-random matrices. We show that collision performance of this robust hash function is not optimal when used to extract hash bits from a moment invariants feature matrix...
This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results from the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms on a common database. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in...
We propose a framework based on signatures extracted from audio and video streams for automatically measuring and maintaining synchronization between the two streams. The audio signature is based on projections of a coarse representation of the spectrogram onto random vectors. The video signature is based on projections of a coarse representation of the difference image between two consecutive frames...
We present a novel video fingerprinting method based on subspace embedding. The proposed method is particularly robust against frame-rate conversion attacks and geometric attacks among other attacks including compression and spatial scaling. Using a sliding window, we extract fingerprints from a group of subsequent video frames. For the generation of the fingerprints, we first calculate the basis...
We propose a novel video signature extraction method based on projections of difference images between consecutive video frames. The difference images are projected onto random basis vectors to create a low dimensional bitstream representation of the active content (moving regions) between two video frames. A sequence of these signatures serves to identify the underlying video content in a robust...
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