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Efficient data mining and indexing is important for multimedia analysis and retrieval. In the field of large-scale video analysis, effective genre categorization plays an important role and serves one of the fundamental steps for data mining. Existing works utilize domain-knowledge dependent feature extraction, which is limited from genre diversification as well as data volume scalability. In this...
In this paper, an Enhanced PCA-SIFT is proposed and a FSVM is adopted for gender classification. The Enhanced PCA-SIFT is based on PCA-SIFT, which has been successfully applied into feature extraction, the Enhanced PCA-SIFT is to extract face features including gender information. A membership algorithm based on LVQ is used in FSVM. In FERET, CAS-PEAL and BUAA-IRIP face image database, Experimental...
In this paper, we propose a method for fast pedestrian detection in images/videos. Multi-scale orientated (MSO) features are proposed to represent coarse pedestrian contour, on which Adaboost classifiers are trained for pedestrian coarse location. In the fine detection, histogram of oriented gradient (HOG) features and SVM classifiers are employed to precisely classify pedestrians and non-pedestrians...
In order to extract compact and effective feature to characterize protein structure, this paper presents a feature extraction of protein fold by mapping into 2-D distance matrix which is regarded as gray level image and further analyzed by image processing techniques. Firstly, gray level co-occurrence matrix (CoM) of distance matrix image (DMI) is calculated and its singular values are taken as the...
One of the most important research aims is to understand the relationship between structure and function of protein. Inspired by this motivation, automatic classification of protein structure becomes one of major research approaches. However, how to extract compact and effective feature to characterize protein structure is still a challenge to it. In this paper, 3-D tertiary structure of protein fold...
This paper presents a novel SOM algorithm to classify the moving objects activities according to their trajectories. Firstly, a trajectory is represented as a sequence of vector that consists of the temporal motion feature and predictive motion information of moving object, and a good classification result benefits from the predictive motion information. Secondly, the motion features and predictive...
Widely used in the evaluation of retrieval systems, the pooling method collects top ranked images from submitted retrieval systems resulting in possibly a very large pool of images. Inevitably, the pool may contain outliers. Human experts then manually annotate the relevance of them to create a ground truth for evaluation. Studies show that this annotation is time-consuming, tedious and inconsistent...
Because of its accurate and robust performance, association rule-based approach is recently used for image classification. A new textural feature based on classification rules is proposed in this paper. We give a simple texture representation, which is appropriate to allows application of classification rules algorithms. The representation has several properties like grey scale invariance and invariance...
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