Abstract: Efficient and relevant retrieval of any type of the data, especially multimedia objects... more Abstract: Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
There are various categories of tumors found in the human brain at different localities, each own... more There are various categories of tumors found in the human brain at different localities, each owning its features or characteristics (i.e. Sizes, shapes, and contrast) at different intervals of time. The intervention of medical images (especially brain MRI images) greatly assists in the identification and categorization of these tumors. Delicate analysis and precise segmentation of these lesions are crucial for the proper diagnosis of this life-threatening disease. A lot of time and effort is required to perform this task manually, which may also be error prone. A plethora of work has been done in the near past, for the automation of this task by employing image processing, machine and deep learning-based methods. Due to high performance, deep learning-based methods have diverted the focus of the research community towards neural networks and their variants. In our study, we have employed generative deep learning-based encoder and decoder structure for the multi-class semantic segme...
Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based... more Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based... more Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
Abstract: Efficient and relevant retrieval of any type of the data, especially multimedia objects... more Abstract: Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
There are various categories of tumors found in the human brain at different localities, each own... more There are various categories of tumors found in the human brain at different localities, each owning its features or characteristics (i.e. Sizes, shapes, and contrast) at different intervals of time. The intervention of medical images (especially brain MRI images) greatly assists in the identification and categorization of these tumors. Delicate analysis and precise segmentation of these lesions are crucial for the proper diagnosis of this life-threatening disease. A lot of time and effort is required to perform this task manually, which may also be error prone. A plethora of work has been done in the near past, for the automation of this task by employing image processing, machine and deep learning-based methods. Due to high performance, deep learning-based methods have diverted the focus of the research community towards neural networks and their variants. In our study, we have employed generative deep learning-based encoder and decoder structure for the multi-class semantic segme...
Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based... more Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based... more Efficient and relevant retrieval of any type of the data, especially multimedia objects, is based on indexing technique. Due to complexity of multimedia data, existing indexing techniques for multimedia objects suffer from irrelevant retrieval. Rhetorical Structure Theory (RST) has already been successfully implemented for indexing text documents, which has reduced irrelevancy. The focus of this research paper is to propose an indexing technique for image objects using RST. An indexing technique is proposed for image objects using image relation framework for RST. To elaborate the functionality of proposed indexing technique, a case study is presented for image objects. Further research can be carried out for indexing technique of other multimedia objects.
Uploads
Papers by Khaldoon Khurshid