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» Using Segmented Objects in Ostensive Video Shot Retrieval
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ICIP
2000
IEEE
14 years 1 days ago
Partitioning of Video Objects into Temporal Segments Using Local Motion Information
In this paper we propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization...
Berna Erol, Faouzi Kossentini
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 9 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 9 months ago
Bayesian Shot Detection Using Structural Weighting
A video stream consists of a number of shots each of which has different boundary types such as cut, fade, and dissolve. Many previous approaches can find the cut boundary without...
Seung-Hoon Han, In-So Kweon, Chang-Yeong Kim, Yang...
ACIVS
2009
Springer
13 years 11 months ago
Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
The temporal segmentation of a video into shots is a fundamental prerequisite for video retrieval. There are two types of shot boundaries: abrupt shot changes (“cuts”) and grad...
Ralph Ewerth, Bernd Freisleben
ECCV
2010
Springer
13 years 10 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...