Sciweavers

131 search results - page 12 / 27
» Video Segmentation Using Hidden Markov Model with Multimodal...
Sort
View
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 20 days ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
13 years 8 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
CIVR
2004
Springer
200views Image Analysis» more  CIVR 2004»
14 years 3 days ago
HMM Model Selection Issues for Soccer Video
There has been a concerted effort from the Video Retrieval community to develop tools that automate the annotation process of Sports video. In this paper, we provide an in-depth i...
Mark Baillie, Joemon M. Jose, Cornelis Joost van R...
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
14 years 9 days ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
ICML
2000
IEEE
14 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...