Towards semantically meaningful feature spaces for the characterization of video content

Authors:
N. Vasconcelos;A. Lippman
Affiliations:
-;-
Venue:
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Year:
1997

Citing 0
Cited 13

Multi-Modal Dialog Scene Detection Using Hidden Markov Models for Content-Based Multimedia Indexing

Multimedia Tools and Applications
A new paradigm for analysis of MPEG compressed videos

Journal of Network and Computer Applications
Complex Visual Activity Recognition Using a Temporally Ordered Database

VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Where Does Computational Media Aesthetics Fit?

IEEE MultiMedia
Multimedia Semantic Features and Image Content Description

MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms

WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Temporal Bayesian Network based contextual framework for structured information mining

Pattern Recognition Letters
Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training

PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Framework for measurement of the intensity of motion activity of video segments

Journal of Visual Communication and Image Representation
Rule-based real-time detection of context-independent events in video shots

Real-Time Imaging
Violence content classification using audio features

SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Shot classification and scene segmentation based on MPEG compressed movie analysis

PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Audio-Visual fusion for detecting violent scenes in videos

SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Efficient procedures for browsing, filtering, sorting or retrieving pictorial content require accurate content characterization. Of particular interest are representations based on semantically meaningful feature spaces, capable of capturing properties such as violence, sex or profanity. In this work we report on a first step towards this goal, the design of a stochastic model for video editing which provides a transformation from the image space to a low-dimensional feature space where categorization by degree of action can be easily accomplished.