Dissertation/Thesis

Multi-Clip Video Editing from a Single Viewpoint Vineet Gandhi

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Multi-Clip Video Editing from a Single Viewpoint Vineet Gandhi
Συγγραφείς: Remi Ronfard, Michael Gleicher
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://imagine.inrialpes.fr/people/vgandhi/GRG_CVMP_2014.pdf.
Συλλογή: CiteSeerX
Θεματικοί όροι: Categories and Subject Descriptors I.3.8 [Computer Graphics, Applications, I.4.9 [Image process- ing and Computer Vision, Applications General Terms Computer Vision, Computer Graphics Keywords Video Editing, Video Processing
Περιγραφή: We propose a framework for automatically generating multiple clips suitable for video editing by simulating pan-tilt-zoom camera move-ments within the frame of a single static camera. Assuming impor-tant actors and objects can be localized using computer vision tech-niques, our method requires only minimal user input to define the subject matter of each sub-clip. The composition of each sub-clip is automatically computed in a novel L1-norm optimization frame-work. Our approach encodes several common cinematographic practices into a single convex cost function minimization prob-lem, resulting in aesthetically pleasing sub-clips which can easily be edited together using off-the-shelf multi-clip video editing soft-ware. We demonstrate our approach on five video sequences of a live theatre performance by generating multiple synchronized sub-clips for each sequence.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3004; http://imagine.inrialpes.fr/people/vgandhi/GRG_CVMP_2014.pdf
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3004
http://imagine.inrialpes.fr/people/vgandhi/GRG_CVMP_2014.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.84401754
Βάση Δεδομένων: BASE
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  Data: Multi-Clip Video Editing from a Single Viewpoint Vineet Gandhi
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  Data: We propose a framework for automatically generating multiple clips suitable for video editing by simulating pan-tilt-zoom camera move-ments within the frame of a single static camera. Assuming impor-tant actors and objects can be localized using computer vision tech-niques, our method requires only minimal user input to define the subject matter of each sub-clip. The composition of each sub-clip is automatically computed in a novel L1-norm optimization frame-work. Our approach encodes several common cinematographic practices into a single convex cost function minimization prob-lem, resulting in aesthetically pleasing sub-clips which can easily be edited together using off-the-shelf multi-clip video editing soft-ware. We demonstrate our approach on five video sequences of a live theatre performance by generating multiple synchronized sub-clips for each sequence.
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