RETRIEVAL OF VISUAL INFORMATION IN MULTIMEDIA SENSOR NETWORK BY ENTROPY CORRELATION COEFFICIENT METHOD
- PG Student, Dept of CSE, MCE, HASSAN, INDIA.
- Asst. Professor, CSE, MCE, HASSAN, INDIA.
- Professor, CSE, MCE, HASSAN, INDIA.
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The Wireless Multimedia Sensor Network comprises cameras at the sensor hub in visual information application. These camera sensor gadgets catch their perceptions restricted by the FoV as a picture. There is a connection between\'s pictures caught by various cameras at a specific territory. This prompts the excess information transmission in the system. As the sensor hub are battery fueled and asset constrained. Subsequently these panic assets ought to be utilized proficiently. This paper concentrates on execution of entropy relationship coefficient model in WMSN for visual information. The usage of entropy, joint entropy and common data is performed to appraise an ECC which portrays relationship attributes of pictures saw by camera with covered detecting territory. Filter calculation is utilized to play out the blending operations between two pictures. Utilizing the RANSAC calculation components are coordinated and the homography between two pictures are found. The outcomes got fulfills the connection amongst ECC and Joint entropy.
[Subhash S, Gururaj H L and Ramesh B (2016); RETRIEVAL OF VISUAL INFORMATION IN MULTIMEDIA SENSOR NETWORK BY ENTROPY CORRELATION COEFFICIENT METHOD Int. J. of Adv. Res. 4 (Aug). 37-46] (ISSN 2320-5407). www.journalijar.com
