Content-Based Image Classification and Retrieval

Ali, Jafar

doi:10.4018/jiit.2007070103

Cited by 12 publications

(6 citation statements)

References 36 publications

(44 reference statements)

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“…Global based detection system considers the whole structure of interested object. This approach is based on different types and combinations of features, such as Histograms of Oriented Gradients (HOG) (Dalal & Triggs, 2005), covariance matrices (Tuzel et al, 2007), texture features (Ali, 2007), Wavelet Features (Shanthi & Bhaskaran, 2013), combination of several features (silhouette, appearance etc.). Global based method is effective but does not provide required results when the object is in different poses and when the object is occluded by another object.…”

Section: Related Workmentioning

confidence: 99%

Fall Detection with Part-Based Approach for Indoor Environment

Fathima

Vaidehi

Selvaraj

2014

International Journal of Intelligent Information Technologies

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In the current scenario, majority of the aged people want to lead independent life, and most of them prefer living at their own home. According to recent case studies, the major cause of casualty among elder people has been due to the accidental falls. Hence, it is eminent to have a fall detection monitoring system at home. The prevailing method for fall detection uses accelerometers to distinguish fall from other day to day activities, these results are more erroneous. In this paper, vision based “Fall detection with part-based approach (FDP)” is proposed to give accurate information about the person activities in the indoor. The proposed scheme uses background subtraction in association with aspect ratio and inclination angle to detect the fall. Moreover, the proposed approach predicts the fall even if the person is occluded by other objects or under self-occluded condition. To detect the person even if only partly visible and occluded by other non-moving objects, part based approach is adapted. To train the system for detection purpose, Cascaded structure of Haar-rectangular features with joint-boosting classifier is utilized. The detection efficiency is measured by precision, recall and accuracy parameters.

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Section: Related Workmentioning

confidence: 99%

Fall Detection with Part-Based Approach for Indoor Environment

Fathima

Vaidehi

Selvaraj

2014

International Journal of Intelligent Information Technologies

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“…From the results it is proved that neuro fuzzy approaches yields very good solution to the problem. Ali et al (2007) have proposed an approach based on feature reduction, classification and retrieval for image databases using content-based image retrieval systems. This approach combines the image texture features with color features and classification is performed correctly.…”

Section: Related Workmentioning

confidence: 99%

A Modified Watershed Segmentation Method to Segment Renal Calculi in Ultrasound Kidney Images

Thangaraj¹,

Tamilselvi²

2012

International Journal of Intelligent Information Technologies

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Segmentation of stones from abdominal ultrasound images is a unique challenge to the researchers because these images have heavy speckle noise and attenuated artifacts. In the previous renal calculi segmentation method, the stones were segmented from the medical ultra sound kidney stone images using Adaptive Neuro Fuzzy Inference System (ANFIS). But, the method lacks in sensitivity and specificity measures. The segmentation method is inadequate in its performance in terms of these two parameters. So, to avoid these drawbacks, a new segmentation method is proposed in this paper. Here, new region indicators and new modified watershed transformation is utilized. The proposed method is comprised of four major processes, namely, preprocessing, determination of outer and inner region indictors, modified watershed segmentation with ANFIS performance. The method is implemented and the results are analyzed in terms of various statistical performance measures. The results show the effectiveness of proposed segmentation method in segmenting the kidney stones and the achieved improvement in sensitivity and specificity measures. Furthermore, the performance of the proposed technique is evaluated by comparing with the other segmentation methods.

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“…Clustering (Bailey, 1994;Jain et al, 1999) plays a vital role in content based image retrieval (Ali, 2007;Lai et al, 2012;Zhang & Sugumaran, 2014) face recognition systems (Huang et al, 2014;Choi et al, 2010). It also facilitates search space reduction of large scale face recognition.…”

Section: Introductionmentioning

confidence: 99%

Multi-Level Search Space Reduction Framework for Face Image Database

Hemalatha

Vaidehi

Nithya

et al. 2015

International Journal of Intelligent Information Technologies

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In face recognition, searching and retrieval of relevant images from a large database form a major task. Recognition time is greatly related to the dimensionality of the original data and the number of training samples. This demands the selection of discriminant features that produce similar results as the entire set and a reduced search space. To address this issue, a Multi-Level Search Space Reduction framework for large scale face image database is proposed. The proposed approach identifies discriminating features and groups face images sharing similar properties using feature-weighted Fuzzy C-Means approach. A hierarchical tree model is then constructed inside every cluster based on the discriminating features which enables a branch based selection, thereby reducing the search space. The proposed framework is tested on three benchmark and two self-created databases. The experimental results show that the proposed method achieved an average accuracy of 93% and an average search time reduction of 66% compared to existing approaches for search space reduction of face recognition.

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Content-Based Image Classification and Retrieval

Cited by 12 publications

References 36 publications

Fall Detection with Part-Based Approach for Indoor Environment

Fall Detection with Part-Based Approach for Indoor Environment

A Modified Watershed Segmentation Method to Segment Renal Calculi in Ultrasound Kidney Images

Multi-Level Search Space Reduction Framework for Face Image Database

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