Publications

@inproceedings{2006-Kim-IMGVN,

title = {Interactive Mosaic Generation for Video Navigation},

author = {Kihwan Kim and Irfan Essa and Gregory Abowd },

url = {https://doi.org/10.1145/1180639.1180776},

doi = {10.1145/1180639.1180776},

year  = {2006},

date = {2006-10-01},

urldate = {2006-10-01},

booktitle = {ACM International Conference on Multimedia (ACM-MM)},

address = {Santa Barbara,CA,USA},

abstract = {Navigation through large multimedia collections that include videos and images still remains cumbersome. In this paper, we introduce a novel method to visualize and navigate through the collection by creating a mosaic image that visually represents the compilation. This image is generated by a labeling-based layout algorithm using various sizes of sample tile images from the collection. Each tile represents both the photographs and video files representing scenes selected by matching algorithms. This generated mosaic image provides a new way for thematic video and visually summarizes the videos. Users can generate these mosaics with some predefined themes and layouts, or base it on the results of their queries. Our approach supports automatic generation of these layouts by using meta-information such as color, time-line and existence of faces or manually generated annotated information from existing systems (e.g., the Family Video Archive).},

keywords = {ACMMM, computational video, multimedia},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2006-Shi-LTSMFPLD,

title = {Learning Temporal Sequence Model from Partially Labeled Data},

author = {Y. Shi and A. Bobick and I. Essa},

year  = {2006},

date = {2006-06-01},

booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

pages = {1631 - 1638},

publisher = {IEEE Computer Society},

keywords = {activity recognition, computational video, computer vision, CVPR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2005-Huang-TMOTO,

title = {Tracking Multiple Objects Through Occlusions},

author = {Y. Huang and I. Essa},

year  = {2005},

date = {2005-06-01},

booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

pages = {1051--1058},

publisher = {IEEE Computer Society},

address = {San Diego, CA, USA},

keywords = {activity recognition, computational video, computer vision, CVPR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2004-Shi-PNRPOSA,

title = {Propagation Networks for recognition of partially ordered sequential action},

author = {Y. Shi and Y. Huang and D. Minnen and A. Bobick and I. Essa},

year  = {2004},

date = {2004-01-01},

booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

pages = {862-869},

publisher = {IEEE Computer Society},

address = {Washington, DC},

keywords = {activity recognition, computational video, computer vision, CVPR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2003-Minnen-EGLHEAR,

title = {Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition},

author = {D. Minnen and I. Essa and T. Starner},

year  = {2003},

date = {2003-06-01},

booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

pages = {626-632},

keywords = {activity recognition, computational video, computer vision, CVPR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2001-Brostow-IMBSMA,

title = {Image-Based Motion Blur for Stop Motion Animation},

author = {G. J. Brostow and I. Essa},

editor = {Eugene Fiume},

url = {http://www-static.cc.gatech.edu/gvu/perception/projects/blur/index.html},

doi = {10.1145/383259.383325},

year  = {2001},

date = {2001-07-01},

booktitle = {ACM SIGGRAPH Proceedings of Annual Conference on Computer graphics and interactive techniques},

pages = {561--566},

publisher = {ACM Press / ACM SIGGRAPH},

organization = {ACM},

series = {Computer Graphics Proceedings, Annual Conference Series},

keywords = {computational video, motion blur, optical flow},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2000-Schodl-VT,

title = {Video textures},

author = {A. Schödl and R. Szeliski and D. H. Salesin and I. Essa},

doi = {10.1145/344779.345012},

year  = {2000},

date = {2000-08-01},

booktitle = {ACM SIGGRAPH Proceedings of Annual Conference on Computer graphics and interactive techniques},

pages = {489--498},

publisher = {ACM Press/Addison-Wesley Publishing Co.},

address = {New York, NY, USA},

abstract = {This paper introduces a new type of medium, called a video texture, which has qualities somewhere between those of a photograph and a video. A video texture provides a continuous infinitely varying stream of images. While the individual frames of a video texture may be repeated from time to time, the video sequence as a whole is never repeated exactly. Video textures can be used in place of digital photos to infuse a static image with dynamic qualities and explicit actions. We present techniques for analyzing a video clip to extract its structure, and for synthesizing a new, similar looking video of arbitrary length. We combine video textures with view morphing techniques to obtain 3D video textures. We also introduce video-based animation, in which the synthesis of video textures can be guided by a user through high-level interactive controls. Applications of video textures and their extensions include the display of dynamic scenes on web pages, the creation of dynamic backdrops for special effects and games, and the interactive control of video-based animation.},

keywords = {computational video},

pubstate = {published},

tppubtype = {inproceedings}

}