Content-Based Ima e Orientation Detection with Support Vector Machines

Authors:
Yongmei Wang;Hongjiang Zhang
Affiliations:
-;-
Venue:
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Year:
2001

Citing 0
Cited 16

MyPhotos: a system for home photo management and processing

Proceedings of the tenth ACM international conference on Multimedia
Detecting image orientation based on low-level visual content

Computer Vision and Image Understanding
Automatic Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image orientation determination with natural image statistics

Proceedings of the 13th annual ACM international conference on Multimedia
Semi-automatic video annotation based on active learning with multiple complementary predictors

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Sunset scene classification using simulated image recomposition

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval

International Journal of Computer Vision
Smart album: photo filtering by effect detections

ACM SIGGRAPH 2008 posters
What's up CAPTCHA?: a CAPTCHA based on image orientation

Proceedings of the 18th international conference on World wide web
Orientation detection of major Indian scripts

Proceedings of the International Workshop on Multilingual OCR
Error bounds of decision templates and support vector machines in decision fusion

International Journal of Knowledge Engineering and Soft Data Paradigms
Hierarchical System for Content Based Categorization and Orientation of Consumer Images

PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Boosting image classification with LDA-based feature combination for digital photograph management

Pattern Recognition
A Bayesian network-based framework for semantic image understanding

Pattern Recognition
Sketcha: a captcha based on line drawings of 3D models

Proceedings of the 19th international conference on World wide web
An algorithm for the automatic estimation of image orientation

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Accurate and automatic image orientation detection isof great importance in image libraries. In this paper, wepresent automatic image orientation detect on algorithmsby adopting both the illuminance (structural) andchrominance (color) low-level content features. Thestatistical learning Support Vector Machines (SVMs) areused n our approach as the classifiers. The differentsources of the extracted mage features, as well as thebinary classification nature of SVM, require our system tobe able to integrate the outputs from multiple classifiers.Both static combiner (averaging) and trainable combiner(also based on SVMs) are proposed and evaluated n thiswork. In addition, two rejection options (regular and re-enforced ambiguity rejections)are employed to improveorientation detect on accuracy by sieving out mages withlow confidence values during the classification. A numberof experiments on a database of more than 14,000 mageswere performed to validate our approaches.