toreevil.blogg.se - Video montage

#VIDEO MONTAGE HOW TO#

Real-time Hyperlapse Creation via Optimal Frame Selection. Neel Joshi, Wolf Kienzle, Mike Toelle, Matt Uyttendaele, and Michael F.Eakta Jain, Yaser Sheikh, Ariel Shamir, and Jessica Hodgins.Practical automatic background substitution for live video.

Haozhi Huang, Xiaonan Fang, Yufei Ye, Songhai Zhang, and Paul L.

A survey on visual content-based video indexing and retrieval.

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, and Stephen Maybank.

Rachel Heck, Michael Wallick, and Michael Gleicher.

Deep residual learning for image recognition.

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun.

Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick.

A Semi-automatic Approach to Home Video Editing.

Andreas Girgensohn, John Boreczky, Patrick Chiu, John Doherty, Jonathan Foote, Gene Golovchinsky, Shingo Uchihashi, and Lynn Wilcox.

Quentin Galvane, Rémi Ronfard, Christophe Lino, and Marc Christie.

Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler.

A Lightweight Intelligent Virtual Cinematography System for Machinima Production. On Film Editing: An Introduction to the Art of Film Construction. Video co-summarization: Video summarization by visual co-occurrence. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). State-of-the-art speech recognition with sequence-to-sequence models.

Chung-Cheng Chiu, Tara N Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J Weiss, Kanishka Rao, Ekaterina Gonina, et al.

Democut: generating concise instructional videos for physical demonstrations.

Pei-Yu Chi, Joyce Liu, Jason Linder, Mira Dontcheva, Wilmot Li, and Bjoern Hartmann.

#VIDEO MONTAGE HOW TO#

How to Design Voice Based Navigation for How-To Videos. Minsuk Chang, Anh Truong, Oliver Wang, Maneesh Agrawala, and Juho Kim.ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding. Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles.Tools for Placing Cuts and Transitions in Interview Video. Floraine Berthouzoz, Wilmot Li, and Maneesh Agrawala.Dance to the beat: Synchronizing motion to audio. Rachele Bellini, Yanir Kleiman, and Daniel Cohen-Or.Herbert Bay, Tinne Tuytelaars, and Luc Van Gool.Automatic editing of footage from multiple social cameras. Ido Arev, Hyun Soo Park, Yaser Sheikh, Jessica Hodgins, and Ariel Shamir.Using our system, users without video editing experience are able to generate appealing videos. The video assembly is formulated as a hybrid optimization problem over a graph of shots, considering temporal constraints, cinematography metrics such as camera movement and tone, and user-specified cinematography idioms. Visual-semantic matching between segmented text and shots is performed by cascaded keyword matching and visual-semantic embedding, that have better accuracy than alternative solutions. The process involves three simple steps: (1) the user provides input, mostly in the form of editing the text, (2) the tool automatically searches for semantically matching candidate shots from the video repository, and (3) an optimization method assembles the video montage. The resulting video illustrates the given narrative, provides diverse visual content, and follows cinematographic guidelines. Given an input themed text and a related video repository either from online websites or personal albums, the tool allows novice users to generate a video montage much more easily than current video editing tools. We present Write-A-Video, a tool for the creation of video montage using mostly text-editing.