A computer vision framework for automatic description of Indian monuments
Monument recognition and description has emerged as a promising area of research. For
any given image of a monument a question arises that up to what extend can a computer …
any given image of a monument a question arises that up to what extend can a computer …
Heritage of India: Advanced Monuments Classification using Artificial Intelligence
Tourism is India's most lucrative service industry. Many historical buildings and cultural
practices originated in India. Every year, millions of people go to tourist hotspots, and …
practices originated in India. Every year, millions of people go to tourist hotspots, and …
Machine learning advances aiding recognition and classification of Indian monuments and landmarks
Tourism in India plays a quintessential role in the country's economy with an estimated 9.2%
GDP share for the year 2018. With a yearly growth rate of 6.2%, the industry holds a huge …
GDP share for the year 2018. With a yearly growth rate of 6.2%, the industry holds a huge …
[PDF][PDF] Indian monuments classification using support vector machine
MS Bhatt, TP Patalia - International Journal of Electrical and …, 2017 - academia.edu
Recently, Content-Based Image Retrieval is a widely popular and efficient searching and
indexing approach used by knowledge seekers. Use of images by e-commerce sites, by …
indexing approach used by knowledge seekers. Use of images by e-commerce sites, by …
[PDF][PDF] Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches.
This work extricates the image characteristic features for the classification of archeological
monument images. At the preprocessing stage, archeological dataset sample images are …
monument images. At the preprocessing stage, archeological dataset sample images are …
[PDF][PDF] Retrieval of monuments images through ACO optimization approach
R Devesh, J Jha, R Jayaswal, M Gwalior… - Int. Res. J. Eng …, 2017 - academia.edu
Content Based Image Retrieval (CBIR) is an important research area in digital image
processing. But, there is not much contribution of CBIR in monuments image retrieval. By …
processing. But, there is not much contribution of CBIR in monuments image retrieval. By …
Automatically evolving texture image descriptors using the multitree representation in genetic programming using few instances
The performance of image classification is highly dependent on the quality of the extracted
features that are used to build a model. Designing such features usually requires prior …
features that are used to build a model. Designing such features usually requires prior …
Feature extraction and classification of heritage image from crowd source
P Benagi, SM Meena, U Kulkarni… - … Conference on Current …, 2018 - ieeexplore.ieee.org
Textures are the most important features that describe an image. To find the relevant and
specific information about images and classify them properly, a robust machine learning …
specific information about images and classify them properly, a robust machine learning …
Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches
MP Pavan Kumar, B Poornima… - SN Computer …, 2022 - Springer
This work extricates the image characteristic features for the classification of archeological
monument images. At the pre-processing stage, archeological dataset sample images are …
monument images. At the pre-processing stage, archeological dataset sample images are …
Representation-learning-based fusion model for scene classification using convolutional neural network (CNN) and pre-trained CNNs as feature extractors
PV Rukmangadha, R Das - … in Pattern Recognition: Proceedings of CIPR …, 2022 - Springer
Scene classification plays a crucial role in the travel and tourism industry in promoting travel.
In this paper, we propose a fusion approach based on representation learning to perform …
In this paper, we propose a fusion approach based on representation learning to perform …