Sciweavers

970 search results - page 77 / 194
» Generation of Semantic Regions from Image Sequences
Sort
View
ICVGIP
2004
15 years 7 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
TIP
2008
169views more  TIP 2008»
15 years 6 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
SPIESR
2001
174views Database» more  SPIESR 2001»
15 years 7 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
ICPR
2006
IEEE
16 years 7 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
EMMCVPR
2011
Springer
14 years 6 months ago
Optical Flow Guided TV-L1 Video Interpolation and Restoration
The ability to generate intermediate frames between two given images in a video sequence is an essential task for video restoration and video post-processing. In addition, restorat...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...