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Chapter and Conference Paper
A Combinatorial Approach: Datamining and an Efficient Deep Neural Network for Heart Disease Prediction
This paper explores the role of Data mining and Artificial Intelligence in the area of medical research. Prevention of heart disease is one of the vital areas in medical research. The objective of this study i...
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Chapter and Conference Paper
Flower Classification in Videos: A HOG-PCA-NN Method
In this paper, a model for the classification of the flowers in videos is proposed. Flowers in videos are segmented using the Otsu threshold segmentation technique. Histogram of oriented texture features is ex...
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Chapter and Conference Paper
Retrieval of Videos of Flowers Using Deep Features
This paper presents an algorithmic model for the retrieval of natural flower videos using query by frame mechanism. To overcome the drawback of traditional algorithms, we propose an automated system using a de...
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Chapter and Conference Paper
Classification of Natural Flower Videos Through Sequential Keyframe Selection Using SIFT and DCNN
This paper presents an algorithmic model for automatic selection of keyframes for the classification of natural flower videos. For keyframe selection Scale Invariant Feature Transform and Discrete Cosine Trans...
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Chapter and Conference Paper
Features Fusion for Retrieval of Flower Videos
This paper presents a Flower Video Retrieval System (FVRS). An algorithmic model is proposed for the retrieval of natural flower videos using Local Binary Pattern (LBP) and Gray-Level Co-occurrence Matrix (GLC...
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Chapter and Conference Paper
Cluster Based Approaches for Keyframe Selection in Natural Flower Videos
The selection of representative keyframes from a natural flower video is an important task in archival and retrieval of flower videos. In this paper, we propose an algorithmic model for automatic selection of...