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This paper presents a novel solution for finding a person of interest using a mobile agent platform developed with Raspberry PI III module in indoor dynamic environments. This method is capable of extracting human figures from complex backgrounds while the platform is still moving and compare the identified human figures against the query image using features like clothing and other accessories. The...
This paper presents handwritten non-cursive Sinhala character recognition method based on discrete feature extraction of the well thinned character. Study presents adjacent pixel connectivity based thinning algorithm for skeletonizing handwritten characters and curvature based pattern matching and histogram formation method for recognition which can sensitively accessed the round, confusion shapes...
Sentiment negation and negation scoring can be considered as major aspects of sentiment analysis. Social media sentiment analysis can be considered as an excellent source of information in today's business. But there is very minimal work has been done in sentiment negation scoring. All the existing negation scoring mechanisms are based on an adjective intensity approach. This research proposes a novel...
Coronary Cine-angiogram (CCA) is one of the widely used preliminary invasive medical image modalities in Interventional Cardiology for the detection of luminal obstructions in Coronary Artery (CA) vasculature. It is apparent that the clinical judgments based on angiography are subjective and lead to overestimation and underestimation of the detected stenosis. Hence, such imprecise diagnosis can have...
Coronary cine-angiography is an invasive medical image modality which is widely used in Interventional Cardiology for the detection of luminal obstructions in Coronary Arteries (CA). Angiography based stenosis diagnosis is done as a subjective process and results in overestimations or underestimations of detected stenosis. Therefore, this diagnosis results consequence to the patients' quality of life...
Visual feature clustering is one of the cost-effective approaches to segment objects in videos. However, the assumptions made for developing the existing algorithms prevent them from being used in situations like segmenting an unknown number of static and moving objects under heavy camera movements. This paper addresses the problem by introducing a clustering approach based on superpixels and short-term...
Coronary Cine-Angiogram (CCA) based subjective assessment of vascular malfunction is a preliminary diagnostic method in Cardiac clinical procedures. Even though there are many other medical image modalities available, improving the CCA method to objectively detect and assess the stenosis is a cost effective approach in Cardiac clinical procedures. Segmentation of Coronary Arteries (CA) is a basic...
The coronary cine-angiogram (CCA) is an invasive medical image modality which is used to determine the luminal obstructions or stenosis in the Coronary Arteries (CA). CCA based quantitative assessment of vascular morphology is a demanding area in medical diagnosis and segmentation of blood vessels in CCAs is one of the mandatory step in this endeavor. The accurate segmentation of CAs in Angiogram...
Measuring sentiment strength can be considered as one of the key areas of sentiment analysis. The existing sentiment word scoring functions are based on the intensity of adjectives in the sentences. To date, there is a very minimal work has been done for measuring sentiment strength based on adverb and adjective combinations. This research proposes a sentiment word scoring method considering the adverb-adjective...
In frequency domain based image steganographic methods, especially Discrete Cosine Transformation (DCT), the selection of rounded quantized DCT coefficients in each block for data embedding is still an open issue. This paper presents a new data hiding technique based on the DCT coefficients and modified quantization table values. Embedding strength of each coefficients are determined by the mathematical...
Compacted Dither Pattern Code (CDPC) is a recently found feature which is successful in irregular shapes based visual depiction. Locally salient dither pattern feature is an attempt to expand the capability of CDPC for both regular and irregular shape based visual depiction. This paper presents an analysis of rotational and scale invariance property of locally salient dither pattern feature with a...
Imperceptibility and the embedding capacity are the two most important aspects to be concerned in any image based steganographic research studies. It is necessarily considered to maximize the amount of embedding capacity while preserving the security against detection by unauthorized people in any steganographic methods. Many research studies have exposed that the modified quantization tables significantly...
E-Learning becomes widely spread in the past few years because it enables learner to participate in anytime, anyplace personalized training. Designing rich E-Learning environment is an important factor to enhancing the effectiveness of web based education. Therefore the necessity of evaluating the web based E-Learning content is arising. The evaluation of E-Learning content is beneficial for learner...
E-Learning aims to improve the quality of learning through the use of modern information and communication technologies. Designing E-Learning course materials is the most critical task because its entire educational system depends on the way content is presented. For that reason the necessity of evaluating the web based E-Learning content is arising. The evaluation of E-Learning content is beneficial...
Video shot segmentation is a preliminary process used in video content analysis which requires for content description. Conventional shot segmentation techniques nourished with statistical approaches depend on chromatic distributions of video frames. However, these conventional approaches lagging behind in performing semantic shot segmentation where more intuitive and perceptive for human understanding...
High dimensional visual features and multimodal based search systems are popular due to their visual retrieval accuracy. But high dimensionality and multimodality negatively affect efficiency and computational complexity. This paper brings the performance advantages of low dimensional visual feature called Compacted Dither Pattern Code (CDPC). CDPC is accompanied with texel properties, spatial colour...
This paper presents the effectiveness of coupling of Compacted Dither Pattern Code (CDPC) visual syntactic feature with Bhattacharyya classifier for irregular shapes based visual concepts depiction. CDPC helps to reduce the feature space and complexity in classification. The results in this paper show that Bhattacharyya classifier able to further strengthen those capabilities. Here the Bhattacharyya...
The digital video content analysis and retrieval is a hot research topic in this era as videos act as an information source. However the content analysis and retrieval is not as simple as meaningful retrieval of information in a normal data system. The visual information of video data lies in high chromatic depth and density. At the same time these data uses different codecs for storage and interpretation...
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