June 27, 2013 / Last updated : February 22, 2021 irfan CVPR

Paper in IEEE CVPR 2013 “Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition”;

Abstract We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori. Our approach specifically addresses the limitations of standard BoW approaches, which fail to represent the underlying temporal […]
May 28, 2013 / Last updated : March 26, 2023 irfan Presentations

Google I/O 2013: Secrets of Video Stabilization on YouTube

Presentation at Google I/0 2013 by Matthias Grundmann, John Gregg, and Vivek Kwatra on our Video Stabilizer on YouTube Video stabilization is a key component of YouTubes video enhancement tools and youtube.com/editor. All YouTube uploads are automatically detected for shakiness and suggested stabilization if needed. This talk will describe the technical details behind our fully […]
April 29, 2013 / Last updated : February 22, 2021 irfan Publications

Paper in AISTATS 2013 on “Beyond Sentiment: The Manifold of Human Emotions”

Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper we consider higher-dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions.

February 4, 2013 / Last updated : February 22, 2021 irfan Thesis

Matthias Grundmann’s PhD Thesis Defense (2013): “Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation”

Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Matthias GrundmannSchool of Interactive ComputingCollege of ComputingGeorgia Institute of TechnologyDate: February 04, 2013 (Monday)Time: 3:00p – 6:00p ESTLocation: Nano building, 116-118 Abstract: In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge […]