In this paper, we describe how a detail-on-demand representation for interactive video is used in video summarization. Our approach automatically generates a hypervideo composed o...
Frank M. Shipman III, Andreas Girgensohn, Lynn Wil...
We demonstrate a multimedia system that integrates pen-based gesture and live video to support collaboration on physical tasks. The system combines network IP cameras, desktop PCs...
In this paper, we present a system that automates home video editing. This system automatically extracts a set of highlight segments from a set of raw home videos and aligns them ...
To simplify the process of editing interactive video, we developed the concept of “detail-on-demand” video as a subset of general hypervideo. Detail-on-demand video keeps the ...
Andreas Girgensohn, Frank M. Shipman III, Lynn Wil...
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
We demonstrate the use of detail-on-demand hypervideo in interactive training and video summarization. Detail-on-demand video allows viewers to watch short video segments and to f...
John Doherty, Andreas Girgensohn, Jonathan Helfman...
This paper describes a novel methodology for implementing video search functions such as retrieval of near-duplicate videos and recognition of actions in surveillance video. Video...
The Digital Video Album (DVA) system described here integrates various cooperating subsystems to index and query video documents according to their semantic content and other meta...
Qiuying Zhang, Mohan S. Kankanhalli, Philippe Mulh...
Video information, image processing and computer vision techniques are developing rapidly nowadays because of the availability of acquisition, processing and editing tools, which ...
Query by video clip (QVC) has attracted wide research interests in multimedia information retrieval. In general, QVC may include feature extraction, similaritymeasure,databaseorgan...