Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Introduction to Algorithms
Robust Video Mosaicing through Topology Inference and Local to Global Alignment
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Skimming Multiple Perspective Video Using Tempo-Spatial Importance Measures
VDB 5 Proceedings of the Fifth Working Conference on Visual Database Systems: Advances in Visual Information Management
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Visual-Hull Reconstruction from Uncalibrated and Unsynchronized Video Streams
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Intelligent browsing of concert videos
Proceedings of the 15th international conference on Multimedia
Synchronization of multi-camera video recordings based on audio
Proceedings of the 15th international conference on Multimedia
A Virtual Camera Team for Lecture Recording
IEEE MultiMedia
Accurate and low-delay seeking within and across mash-ups of highly-compressed videos
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
Automatic generation of video narratives from shared UGC
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Sensor-based analysis of user generated video for multi-camera video remixing
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Making a scene: alignment of complete sets of clips based on pairwise audio match
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Just-in-time personalized video presentations
Proceedings of the 2012 ACM symposium on Document engineering
MoViMash: online mobile video mashup
Proceedings of the 20th ACM international conference on Multimedia
Interactive video stories from user generated content: a school concert use case
ICIDS'12 Proceedings of the 5th international conference on Interactive Storytelling
Proceedings of the 4th ACM Multimedia Systems Conference
Socially-aware multimedia authoring: Past, present, and future
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Temporal encoded F-formation system for social interaction detection
Proceedings of the 21st ACM international conference on Multimedia
Crowdsourced evaluation of the perceived viewing quality in user-generated video
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
Personalized presentations from community assets
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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A large number of videos are captured and shared by the audience from musical concerts. However, such recordings are typically perceived as boring mainly because of their limited view, poor visual quality and incomplete coverage. It is our objective to enrich the viewing experience of these recordings by exploiting the abundance of content from multiple sources. In this paper, we propose a novel \Virtual Director system that automatically combines the most desirable segments from different recordings resulting in a single video stream, called mashup. We start by eliciting requirements from focus groups, interviewing professional video editors and consulting film grammar literature. We design a formal model for automatic mashup generation based on maximizing the degree of fulfillment of the requirements. Various audio-visual content analysis techniques are used to determine how well the requirements are satisfied by a recording. To validate the system, we compare our mashups with two other mashups: manually created by a professional video editor and machine generated by random segment selection. The mashups are evaluated in terms of visual quality, content diversity and pleasantness by 40 subjects. The results show that our mashups and the manual mashups are perceived as comparable, while both of them are significantly higher than the random mashups in all three terms.