Honeycomb Model Based Skin Color Detector for Face Detection

Pai, Yu-Ting; Lee, Li-Te; Ruan, Shanq-Jang; Chen, Yen-Hsiang; Mohanty, Saraju P.; Kougianos, Elias

doi:10.1109/mmvip.2008.4749499

Cited by 2 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And skin feature, as the most important feature of erotic images, is the one most researches been made on. Many new detection methods have been proposed in recent years, such as the honeycomb model based skin-color detector provided by Pai [1] , the illumination based self-adaptive chroma space model skin-color algorithm provided by Zhao [2] , and the contourlet based skin-texture analysis method provided by Mehran [3] . For other features, Shen [4] presented a improved erotogenic-part detection method, and Zhao [5] designed a erotic image recognition method in compressed domain based on multi-cost sensitive decision tree.…”

Section: Introductionmentioning

confidence: 99%

A fast image retrieval method based on SVM and imbalanced samples in filtering multimedia message spam

Chen

Peng

et al. 2011

SPIE Proceedings

View full text Add to dashboard Cite

With the swift and violent development of the Multimedia Messaging Service (MMS), it becomes an urgent task to filter the Multimedia Message (MM) spam effectively in real-time. For the fact that most MMs contain images or videos, a method based on retrieving images is given in this paper for filtering MM spam. The detection method used in this paper is a combination of skin-color detection, texture detection, and face detection, and the classifier for this imbalanced problem is a very fast multi-classification combining Support vector machine (SVM) with unilateral binary decision tree. The experiments on 3 test sets show that the proposed method is effective, with the interception rate up to 60% and the average detection time for each image less than 1 second.

show abstract