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Sequence alignment with the hilbert-schmidt independence criterion

Published: 13 December 2018 Publication History

Abstract

We present a technique for establishing the temporal alignment between two videos of a single scene, by measuring the statistical dependence between the videos using the Hilbert-Schmidt independence criterion. Unlike previous approaches our technique does not require any feature correspondences between views, nor does it even require the two views to have any scene points in common. We show that our technique can handle arbitrary camera configurations, and can tolerate small camera motions. We demonstrate results on a number of test sequences, including cluttered outdoor scenes and those with significant occlusions.

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Cited By

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  • (2022)Cognitively Economical Heuristic for Multiple Sequence Alignment under UncertaintiesAxioms10.3390/axioms1201000312:1(3)Online publication date: 21-Dec-2022

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  1. Sequence alignment with the hilbert-schmidt independence criterion

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    cover image ACM Conferences
    CVMP '18: Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production
    December 2018
    79 pages
    ISBN:9781450360586
    DOI:10.1145/3278471
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 13 December 2018

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    Author Tags

    1. hilbert-schmidt independence criterion
    2. statistical dependence
    3. temporal alignment
    4. video synchronization

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    CVMP '18
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    CVMP '18: European Conference on Visual Media Production
    December 13 - 14, 2018
    London, United Kingdom

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    • (2022)Cognitively Economical Heuristic for Multiple Sequence Alignment under UncertaintiesAxioms10.3390/axioms1201000312:1(3)Online publication date: 21-Dec-2022

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