The goal of high-level event recognition is to automatically detect complex high-level events
in a given video sequence. This is a difficult task especially when videos are captured under …

Meaningful representation and effective retrieval of video shots in a large-scale database
has been a profound challenge for the image/video processing and computer vision …

Complex event recognition is the problem of recognizing events in long and unconstrained
videos. In this extremely challenging task, concepts have recently shown a promising …

Various fundamental applications in computer vision and machine learning require finding
the basis of a certain subspace. The obtained basis are then used to represent any …

Recognition of complex events in unconstrained Internet videos is a challenging research
problem. In this symposium proposal, we present a systematic decomposition of complex …

Videos of complex events are difficult to represent solely as bags of low level features.
Increasingly, supervised concepts or attributes are being employed as the intermediate …

In this dissertation, we discuss the problem of robust linear subspace estimation using low-
rank optimization and propose three formulations of it. We demonstrate how these …

The increasing ubiquitousness of multimedia information in today's world has positioned
video as a favored information vehicle, and given rise to an astonishing generation of social …

In the last decade, we have witnessed exponential growth of visual content in internet social
media such as YouTube or Facebook. Developing automatic analysis tools is becoming …

With the improved accessibility to an exploding amount of video data and growing demand
in a wide range of video analysis applications, video-based action recognition becomes an …