Resumen
This paper addresses web analytics from the point of view of images, using big data technologies. Images are increasingly present on the web, and therefore any web analysis must consider them. The huge volume of available images requires the use of large computation infrastructures in order to generate this kind of analysis, as well as specific computer vision algorithms. Big data technologies are discussed that can be used for large-scale image processing. In addition, a novel distributed algorithm is proposed that can efficiently retrieve images from an online collection at low computational cost. This algorithm can be used in web analysis or future research requiring detailed image study, without requiring any special hardware.
Título traducido de la contribución | Big data technologies for image retrieval and analysis in web environments |
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Idioma original | Español |
Páginas (desde-hasta) | 567-574 |
Número de páginas | 8 |
Publicación | Profesional de la Informacion |
Volumen | 23 |
N.º | 6 |
DOI | |
Estado | Publicada - 2014 |
Palabras clave
- Big data
- Computer vision
- Image processing
- Image search
- Images
- LSH
- Locality-sensitive hashing
- Map-Reduce
- Search