Efficient Storage and Processing of Video Data for Moving Object Detection Using Hadoop/MapReduce-Reference-Cited by-同舟云学术

Efficient Storage and Processing of Video Data for Moving Object Detection Using Hadoop/MapReduce

Published:2016-10-14 Issue: Volume: Page:137-147
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
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Author:

Parsola Jyoti,Gangodkar Durgaprasad,Mittal Ankush

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-3592-7_14

Reference23 articles.

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2. Pereira, R. and Breitman, K.: A Cloud Based Architecture for Improving Video Compression Time Efficiency: The Split &Merge Approach. 3rd IEEE Int. Conf. on Cloud Computing (CLOUD). Miami, United States July (2010) 482–489.

3. Schmidt, R. and Rella, M.: An approach for processing large and non-uniform media objects on MapReduce-based clusters. 13th Int. Conf. on Asia-Pacific Digital Libraries, (ICADL). Beijing, China (2011).

4. Tan, H. and Chen, L.: An approach for fast and parallel video processing on Apache Hadoop clusters. IEEE Int. Conf on Multimedia and Expo (ICME). Chengdu, China (2014) 1–6.

5. Yamamoto, M. and Kaneko, K.: Parallel image database processing with MapReduce and performance evaluation in pseudo distributed mode. Int. J. of Electronic Commerce Studies, Vol. 3, No. 2 (2012) 211–228.

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