Browsing by Author "Iakovidou, Chryssanthi"
Now showing items 1-5 of 5
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Co.Vi.Wo.: Color Visual Words Based on Non-Predefined Size Codebooks
Chatzichristofis, Savvas A.; Iakovidou, Chryssanthi; Boutalis, Yiannis; Marques, Oge (IEEE, 2012)Due to the rapid development of information technology and the continuously increasing number of available multimedia data, the task of retrieving information based on visual content has become a popular subject of scientific ...
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Localizing global descriptors for content-based image retrieval
Iakovidou, Chryssanthi; Anagnostopoulos, Nektarios; Kapoutsis, Athanasios; Boutalis, Yiannis; Lux, Mathias; Chatzichristofis, Savvas A. (Springer, 2015)In this paper, we explore, extend and simplify the localization of the description ability of the well-established MPEG-7 (Scalable Colour Descriptor (SCD), Colour Layout Descriptor (CLD) and Edge Histogram Descriptor ...
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A LoCATe‐based visual place recognition system for mobile robotics and GPGPUs
Bampis, Loukas; Chatzichristofis, Savvas A.; Iakovidou, Chryssanthi; Gasteratos, Antonios; Boutalis, Yiannis; Amanatiadis, Angelos (John Wiley & Sons Ltd, 2017-05)In this paper, a novel visual Place Recognition approach is evaluated based on a visual vocabulary of the Color and Edge Directivity Descriptor (CEDD) to address the loop closure detection task. Even though CEDD was initially ...
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Mean Normalized Retrieval Order (MNRO): a new content-based image retrieval performance measure
Chatzichristofis, Savvas A.; Iakovidou, Chryssanthi; Boutalis, Yiannis S.; Angelopoulou, Elli (Springer, 2014)The results of a content based image retrieval system can be evaluated by several performance measures, each one employing different evaluation criteria. Many of the methods used in the field of information retrieval have ...
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Real-time indexing for large image databases: color and edge directivity descriptor on GPU
Bampis, Loukas; Iakovidou, Chryssanthi; Chatzichristofis, Savvas A.; Boutalis, Yiannis S.; Amanatiadis, Angelos (Springer, 2014)In this paper, we focus on implementing the extraction of a well-known low-level image descriptor using the multicore power provided by general-purpose graphic processing units (GPGPUs). The color and edge directivity ...