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» Detecting Irregularities in Images and in Video
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KDD
2002
ACM
286views Data Mining» more  KDD 2002»
16 years 6 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen
ICIP
2001
IEEE
16 years 7 months ago
A new video-object watermarking scheme robust to object manipulation
This paper presents a watermarking scheme for image or video objects. The watermarking of video objects implies different constraints from raw watermarking methods. The mark has t...
Patrick Bas, Benoit M. Macq
MICCAI
2006
Springer
16 years 7 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
ICMCS
2006
IEEE
120views Multimedia» more  ICMCS 2006»
16 years 7 days ago
SVM-Based Shot Boundary Detection with a Novel Feature
This paper describes our new algorithm for shot boundary detection and its evaluation. We adopt a 2-stage data fusion approach with SVM technique to decide whether a boundary exis...
Kazunori Matsumoto, Masaki Naito, Keiichiro Hoashi...
ECCV
2010
Springer
15 years 9 months ago
Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Pro
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...