Abstract:
In this report we give a briefoverview ofthe different methods used for image retrieval
model implementing the Convolutional Neural Network (CNN) and propose a new
architecture. This model is designed on the test case of landmark images as it is made
in the research and implementation for an image retrieval software for the same test
The basic idea behind this research is to develop a system that can retrieve I case.
information about a landmark when an image is given as input. This type of system
will help tourists and explorers in learning more about the different famous landmarks
and monuments of the world. The objective of this system is to develop an image
of famous monuments and landmarks. recognition procedure to recognise images
Different segments/levels ofimage recognition and processing are used including pre processing and model of Convolutional Neural Network which is a type Artificial
Neural Networks (ANN). The best thing about this technique
detection and extraction and the finally its recognition. For research purposes we have
studied and worked on different models of Convolutional Neural Networks (CNNs)
is its brilliance in feature
on different discussed briefly. According to the tests conducted which will be further
CNNs we have concluded that ourself-proposed model has given more accurate results
small database, the lower the
on our dataset as the deeper the CNN model gets, on a
accuracy is.
In this report we give a briefoverview ofthe different methods used for image retrieval
model implementing the Convolutional Neural Network (CNN) and propose a new
architecture. This model is designed on the test case of landmark images as it is made
in the research and implementation for an image retrieval software for the same test
The basic idea behind this research is to develop a system that can retrieve I case.
information about a landmark when an image is given as input. This type of system
will help tourists and explorers in learning more about the different famous landmarks
and monuments of the world. The objective of this system is to develop an image
of famous monuments and landmarks. recognition procedure to recognise images
Different segments/levels ofimage recognition and processing are used including pre processing and model of Convolutional Neural Network which is a type Artificial
Neural Networks (ANN). The best thing about this technique
detection and extraction and the finally its recognition. For research purposes we have
studied and worked on different models of Convolutional Neural Networks (CNNs)
is its brilliance in feature
on different discussed briefly. According to the tests conducted which will be further
CNNs we have concluded that ourself-proposed model has given more accurate results
small database, the lower the
on our dataset as the deeper the CNN model gets, on a
accuracy is.