Edgar, A.D.[Albert D.],
Penn, S.C.[Steven C.],
Video editing by locating segment boundaries and reordering
segment sequences,
US_Patent5,537,530, Jul 16, 1996
WWW Link.
BibRef
9607
Butler, S.[Sean],
Parkes, A.P.[Alan P.],
Film Sequence Generation Strategies for
Automatic Intelligent Video Editing,
AppAI(11), No. 4, June 1997, pp. 367-388.
9706
BibRef
Nack, F.,
Parkes, A.P.,
Toward the Automated Editing of Theme-Oriented Video Sequences,
AppAI(11), No. 4, June 1997, pp. 331-366.
9706
BibRef
Nack, F.,
Parkes, A.P.,
The Application of Video Semantics and Theme Representation in
Automated Video Editing,
MultToolApp(4), No. 1, January 1997, pp. 57-83.
9703
BibRef
Hua, X.S.[Xian-Sheng],
Lu, L.[Lie],
Zhang, H.J.[Hong-Jiang],
Optimization-based automated home video editing system,
CirSysVideo(14), No. 5, May 2004, pp. 572-583.
IEEE Abstract.
0407
BibRef
Hua, X.S.[Xian-Sheng],
Zhang, H.J.[Hong-Jiang],
Content and transformation effect matching for automated home video
editing,
ICIP04(III: 1613-1616).
IEEE DOI
0505
BibRef
Hua, X.S.[Xian-Sheng],
Chen, X.[Xian],
Zhang, H.J.[Hong-Jiang],
Robust video signature based on ordinal measure,
ICIP04(I: 685-688).
IEEE DOI
0505
BibRef
Shah, R.,
Narayanan, P.J.,
Interactive Video Manipulation Using Object Trajectories and Scene
Backgrounds,
CirSysVideo(23), No. 9, 2013, pp. 1565-1576.
IEEE DOI
1309
Cameras
BibRef
Sadek, R.[Rida],
Facciolo, G.[Gabriele],
Arias, P.[Pablo],
Caselles, V.[Vicent],
A Variational Model for Gradient-Based Video Editing,
IJCV(103), No. 1, May 2013, pp. 127-162.
Springer DOI
1305
See also Variational Framework for Exemplar-Based Image Inpainting, A.
BibRef
Facciolo, G.[Gabriele],
Sadek, R.[Rida],
Bugeau, A.[Aurélie],
Caselles, V.[Vicent],
Temporally Consistent Gradient Domain Video Editing,
EMMCVPR11(59-73).
Springer DOI
1107
BibRef
Xie, L.,
Natsev, A.,
He, X.,
Kender, J.R.,
Hill, M.,
Smith, J.R.,
Tracking Large-Scale Video Remix in Real-World Events,
MultMed(15), No. 6, 2013, pp. 1244-1254.
IEEE DOI
1309
image databases; YouTube; social networks
BibRef
Chen, S.F.[Shi-Feng],
Zhou, Q.A.[Qi-Ang],
Ding, H.[Huijun],
Learning Boundary and Appearance for Video Object Cutout,
SPLetters(21), No. 1, January 2014, pp. 101-104.
IEEE DOI
1402
Markov processes
BibRef
Shi, Q.[Qun],
Nobuhara, S.,
Matsuyama, T.,
Augmented Motion History Volume for Spatiotemporal Editing of 3-D
Video in Multiparty Interaction Scenes,
CirSysVideo(25), No. 1, January 2015, pp. 63-76.
IEEE DOI
1502
BibRef
Earlier:
3DV13(414-421)
IEEE DOI
1311
image motion analysis.
computer graphics
BibRef
Su, P.C.[Po-Chyi],
Suei, P.L.[Pei-Lun],
Chang, M.K.[Min-Kuan],
Lain, J.[Jie],
Forensic and anti-forensic techniques for video shot editing in
H.264/AVC,
JVCIR(29), No. 1, 2015, pp. 103-113.
Elsevier DOI
1504
H.264/AVC
BibRef
Ahn, B.Y.[Byeong-Yong],
Koo, H.I.[Hyung Il],
Kim, H.I.[Hong Il],
Jeong, J.C.[Ji-Chull],
Cho, N.I.[Nam Ik],
Efficient Unwrap Representation of Faces for Video Editing,
SPLetters(22), No. 10, October 2015, pp. 1718-1722.
IEEE DOI
1506
image reconstruction
BibRef
Li, C.C.,
Lai, Y.C.,
Syu, N.S.,
Guo, H.N.,
Todorov, D.,
Yao, C.Y.,
EZCam: WYSWYG Camera Manipulator for Path Design,
CirSysVideo(27), No. 8, August 2017, pp. 1632-1646.
IEEE DOI
1708
Cameras, Feature extraction, Manipulators, Motion pictures,
Rendering (computer graphics), Robustness, Tracking,
Camera path design, camera transformation manipulator,
marker-based, camera, tracking
BibRef
Zhang, F.,
Wu, X.,
Li, R.,
Wang, J.,
Zheng, Z.,
Hu, S.,
Detecting and Removing Visual Distractors for Video Aesthetic
Enhancement,
MultMed(20), No. 8, August 2018, pp. 1987-1999.
IEEE DOI
1808
convolution, feature extraction, feedforward neural nets,
graph theory, learning (artificial intelligence), optimisation,
visual quality
BibRef
Miksik, O.[Ondrej],
Pérez-Rúa, J.M.[Juan-Manuel],
Torr, P.H.S.[Philip H. S.],
Pérez, P.[Patrick],
ROAM: A Rich Object Appearance Model with Application to Rotoscoping,
CVPR17(7426-7434)
IEEE DOI
1711
detailed delineation of scene elements through a video shot.
Video post processing.
Adaptation models, Deformable models, Image color analysis, Shape.
BibRef
Meyer, S.[Simone],
Sorkine-Hornung, A.[Alexander],
Gross, M.[Markus],
Phase-Based Modification Transfer for Video,
ECCV16(III: 633-648).
Springer DOI
1611
BibRef
Taylor, W.,
Qureshi, F.Z.,
Automatic video editing for sensor-rich videos,
WACV16(1-9)
IEEE DOI
1606
Accelerometers
BibRef
Manickam, N.[Nithya],
Chandran, S.[Sharat],
Automontage: Photo sessions made easy,
ICIP13(1321-1325)
IEEE DOI
1402
Cameras
BibRef
Chen, J.W.[Jia-Wen],
Paris, S.[Sylvain],
Wang, J.[Jue],
Matusik, W.[Wojciech],
Cohen, M.[Michael],
Durand, F.[Fredo],
The video mesh: A data structure for image-based three-dimensional
video editing,
ICCP11(1-8).
IEEE DOI
1208
BibRef
Earlier: A6, A5, A1, A2, A3, A4:
The Video Mesh: A Data Structure for Image-based Video Editing,
CSAIL(TR-2009-062). 2009-12-16
WWW Link.
1101
Video as 2.5D paper cutouts. Interactive editing of objects and depth.
BibRef
Rajgopalan, V.[Vaishnavi],
Ranganathan, A.[Ananth],
Rajagopalan, R.[Ramgopal],
Mudur, S.P.[Sudhir P.],
Keyframe-Guided Automatic Non-linear Video Editing,
ICPR10(3236-3239).
IEEE DOI
1008
BibRef
Yoshitaka, A.[Atsuo],
Deguchi, Y.[Yoshiki],
Rendition-based video editing for public contents authoring,
ICIP09(1825-1828).
IEEE DOI
0911
Editing. Specify emotion to emphasize, not frame number.
BibRef
Slot, K.[Kristine],
Truelsen, R.[René],
Sporring, J.[Jon],
Content-Aware Video Editing in the Temporal Domain,
SCIA09(490-499).
Springer DOI
0906
BibRef
Wang, H.C.[Hong-Cheng],
Xu, N.[Ning],
Raskar, R.[Ramesh],
Ahuja, N.[Narendra],
Videoshop: A New Framework for Spatio-Temporal Video Editing in
Gradient Domain,
CVPR05(II: 1201).
IEEE DOI
0507
BibRef
Wang, H.C.[Hong-Cheng],
Raskar, R.,
Ahuja, N.,
Seamless video editing,
ICPR04(III: 858-861).
IEEE DOI
0409
BibRef
Kumano, M.,
Ariki, Y.,
Amano, M.,
Uehara, K.,
Shunto, K.,
Tsukada, K.,
Video editing support system based on video grammar and content
analysis,
ICPR02(II: 1031-1036).
IEEE DOI
0211
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Image Matting, Video Matting .