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Houaria ABED, Lynda ZAOUI
Pág. 97 - 113
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results which are returned by an image search engine contain multiple topics, and organizing the results into different...
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Gloria Bordogna, Paola Carrara, Luca Frigerio and Simone Lella
The current practice of users searching for different types of geo-resources in a geographic area and wishing to identify the most convenient routes for visiting the most relevant ones, requires the iterative formulation of several queries: first to iden...
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Shahbaz Sikandar, Rabbia Mahum and AbdulMalik Alsalman
The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user?s query from the database. An annotation-based traditional system of image retrieval is not coherent becaus...
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Dmitry Vesnin, Dmitry Levshun and Andrey Chechulin
The origin of the trademark similarity analysis problem lies within the legal area, specifically the protection of intellectual property. One of the possible technical solutions for this issue is the trademark similarity evaluation pipeline based on the ...
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Naseer Ahmed Sajid, Atta Rahman, Munir Ahmad, Dhiaa Musleh, Mohammed Imran Basheer Ahmed, Reem Alassaf, Sghaier Chabani, Mohammed Salih Ahmed, Asiya Abdus Salam and Dania AlKhulaifi
Over the decades, a tremendous increase has been witnessed in the production of documents available in digital form. The increased production of documents has gained so much momentum that their rate of production jumps two-fold every five years. These ar...
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Thuong-Cang Phan, Anh-Cang Phan, Hung-Phi Cao and Thanh-Ngoan Trieu
In the era of digital media, the rapidly increasing volume and complexity of multimedia data cause many problems in storing, processing, and querying information in a reasonable time. Feature extraction and processing time play an extremely important rol...
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Tiange Zhu, Raphaël Fournier-S?niehotta, Philippe Rigaux and Nicolas Travers
We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents ...
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Ashish Bagwari, Anurag Sinha, N. K. Singh, Namit Garg and Jyotshana Kanti
Business-based decision support systems have been proposed for a few decades in the e-commerce and textile industries. However, these Decision Support Systems (DSS) have not been so productive in terms of business decision delivery. In our proposed model...
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Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
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Ezekiel Mensah Martey, Hang Lei, Xiaoyu Li and Obed Appiah
Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an app...
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