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Real-time indexing for large image databases: color and edge directivity descriptor on GPU
(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 ...
How Smart Are Smartphones?: Bridging the marketing and information technology gap.
(IEEE, 2014)
The term "smart" has become widespread in consumer electronics in recent years, reflecting the consumers' need for devices that assist them in their daily activities. The term has a long history of usage in marketing science ...
Content-based image retrieval over IEEE 802.11b noisy wireless networks
(Wiley, 2014)
Mobile devices such as smartphones and tablets are widely used in everyday life to perform a variety of
operations, such as e-mail exchange, connection to social media, bank/financial transactions, and so on.
Moreover, ...
Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments
(IEEE, 2014)
Autonomous micro helicopters are about to play a major role in tasks like search and rescue, environment monitoring, security surveillance, inspection, etc. If they are further realized in small scale, they can also be ...
Hybrid Cellular Ants for Clustering Problems
(Old City Publishing, 2014)
In the last decade the amount of the stored data related to almost all areas of life has rapidly increased. However, the overall process of discovering knowledge from data demands more powerful clustering techniques to ...
Image Encryption using the Recursive Attributes of the eXclusive-OR Filter
(Springer, 2014)
This paper describes a visual multimedia content encryption approach
based on cellular automata (CA), expanding the work
proposed in [4]. The presented algorithm relies on an attribute
of the eXclusive-OR (XOR) filter, ...
Mean Normalized Retrieval Order (MNRO): a new content-based image retrieval performance measure
(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 ...