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Text is one of the most important features in images and videos. It can be used for various analysis purposes. Natural scene text is the text which is automatically present in the scene like sign board etc. In this research work, a method is proposed to detect text in Natural scene videos using MapReduce and MSER (Maximally Stable Extremal Regions). The proposed text detection technique is analyzed on three different classifiers: SVM, LDA and Random forest classifiers. This text detection is very useful in today's era where 'data' is everything.

Nowadays, there are many challenges for the logistics industry mainly with the integration of E-commerce and new sources of data such as smartphones, sensors, GPS and other devices. Those new data sources generate daily a huge quantity of unstructured data, to deal with such complex data, the use of big data analytic tools becomes an obligation.In this context, many works have been done recently in the integration of big data analytics in the logistics industry. In this paper, we propose to give a review of the latest applications of big data analytics in the field of logistics and transportation industry and to propose a novel approach to detect and recognize containers code based on a Hadoop big data analytics system.

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