In this book, a study and analysis is done to improve the Content Based Image Retrieval method which uses the traditional low level features of images. Supported experimental results for a variety of classes of images depicted higher retrieval accuracy and lower computation speed. This method has faster retrieval speed than other methods due to its multiple features and low feature vector dimensions. The following are some key features of this book - Analysis of visual contents of an image is prepared by vast literature survey which has exposed that Color and Texture based features are most effective in content based image retrieval systems. Proper use of Color Spaces has improved the accuracy of the system. Special attention has been given to balance the article with mathematical models, notations and descriptions. As compared to single low level feature based image retrieval, multiple features like color and texture together gives better accuracy and high retrieval rate. Every diagram in this book is demonstrated accurately for clarification of the idea.
"Sinopsis" puede pertenecer a otra edición de este libro.
In this book, a study and analysis is done to improve the Content Based Image Retrieval method which uses the traditional low level features of images. Supported experimental results for a variety of classes of images depicted higher retrieval accuracy and lower computation speed. This method has faster retrieval speed than other methods due to its multiple features and low feature vector dimensions. The following are some key features of this book - Analysis of visual contents of an image is prepared by vast literature survey which has exposed that Color and Texture based features are most effective in content based image retrieval systems. Proper use of Color Spaces has improved the accuracy of the system. Special attention has been given to balance the article with mathematical models, notations and descriptions. As compared to single low level feature based image retrieval, multiple features like color and texture together gives better accuracy and high retrieval rate. Every diagram in this book is demonstrated accurately for clarification of the idea.
Smita Das, having more than 6.5 years working experience in the field of Teaching and R & D with a good number of Research articles, is presently working as Assistant Professor in CSE Dept. in National Institute of Technology Agartala, Tripura, INDIA. Her current field of research interest is Content Based Image Retrieval.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26356455382
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 357084169
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18356455388
Cantidad disponible: 4 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Das SmitaSmita Das, having more than 6.5 years working experience in the field of Teaching and R & D with a good number of Research articles, is presently working as Assistant Professor in CSE Dept. in National Institute of Technolog. Nº de ref. del artículo: 5144283
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Nº de ref. del artículo: 365926606X
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a study and analysis is done to improve the Content Based Image Retrieval method which uses the traditional low level features of images. Supported experimental results for a variety of classes of images depicted higher retrieval accuracy and lower computation speed. This method has faster retrieval speed than other methods due to its multiple features and low feature vector dimensions. The following are some key features of this book - Analysis of visual contents of an image is prepared by vast literature survey which has exposed that Color and Texture based features are most effective in content based image retrieval systems. Proper use of Color Spaces has improved the accuracy of the system. Special attention has been given to balance the article with mathematical models, notations and descriptions. As compared to single low level feature based image retrieval, multiple features like color and texture together gives better accuracy and high retrieval rate. Every diagram in this book is demonstrated accurately for clarification of the idea. Nº de ref. del artículo: 9783659266065
Cantidad disponible: 2 disponibles