Sciweavers

JMM2
2008
160views more  JMM2 2008»
13 years 11 months ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
CIVR
2004
Springer
149views Image Analysis» more  CIVR 2004»
14 years 3 months ago
A Framework for Semantic Classification of Scenes Using Finite State Machines
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...
Yun Zhai, Zeeshan Rasheed, Mubarak Shah
ACCV
1998
Springer
14 years 3 months ago
Optimising the Complete Image Feature Extraction Chain
The hypothesis veri cation stage of the traditional image processing approach, consisting of low, medium, and high level processing, will su er if the set of low level features ext...
Majid Mirmehdi, Phil L. Palmer, Josef Kittler
MM
2003
ACM
161views Multimedia» more  MM 2003»
14 years 4 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
ICPR
2008
IEEE
14 years 6 months ago
Intuitive event modeling for personalized behavior monitoring
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
Ahmed Azough, Alexandre Delteil, Fabien De Marchi,...
CVPR
2007
IEEE
15 years 1 months ago
Detecting Specular Surfaces on Natural Images
Recognizing and localizing specular (or mirror-like) surfaces from a single image is a great challenge to computer vision. Unlike other materials, the appearance of a specular sur...
Andrey DelPozo, Silvio Savarese