We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Despite advances in the archiving of digital video, we are still unable to efficiently search and retrieve the portions that interest us. Video indexing by shot segmentation has b...
Sameer Antani, David J. Crandall, Rangachar Kastur...
This article presents an attempt to link the uploaders of videos based on the audio track of the videos. Using a subset of the MediaEval [10] Placing Task’s Flickr video set, wh...
Howard Lei, Jaeyoung Choi, Adam Janin, Gerald Frie...
We describe XVIP, an XML-based video information processing system, which extracts information from video and stores the information in a multimedia digital video library. XVIP en...
Edith C. H. Ngai, Pat Pik-Wah Chan, Edward Yau, Mi...
This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...