%0 Journal Article %1 K_2015 %A Kamble, Kirti K. %A Bhosale., Prof. S. P. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Adaptive Background Colour Filter Image Indexing Input Pre-processing Subtraction enhancement filter image segmentation video %N 3 %P 1268--1273 %R 10.17762/ijritcc2321-8169.150382 %T A Smart Browsing System with Colour Image Enhancement for Surveillance Videos %U http://dx.doi.org/10.17762/ijritcc2321-8169.150382 %V 3 %X Surveillance cameras have been widely installed in large cities to monitor and record human activities for different applications. Since surveillance cameras often record all events 24 hours/day, it necessarily takes huge workforce watching surveillance videos to search for specific targets, thus a system that helps the user quickly look for targets of interest is highly demanded. This paper proposes a smart surveillance video browsing system with colour image enhancement. The basic idea is to collect all of moving objects which carry the most significant information in surveillance videos to construct a corresponding compact video by tuning positions of these moving objects. The compact video rearranges the spatiotemporal coordinates of moving objects to enhance the compression, but the temporal relationships among moving objects are still kept. The compact video can preserve the essential activities involved in the original surveillance video. This paper presents the details of browsing system and the approach to producing the compact video from a source surveillance video. At the end we will get the compact video with high resolution

@article{K_2015, abstract = {Surveillance cameras have been widely installed in large cities to monitor and record human activities for different applications. Since surveillance cameras often record all events 24 hours/day, it necessarily takes huge workforce watching surveillance videos to search for specific targets, thus a system that helps the user quickly look for targets of interest is highly demanded. This paper proposes a smart surveillance video browsing system with colour image enhancement. The basic idea is to collect all of moving objects which carry the most significant information in surveillance videos to construct a corresponding compact video by tuning positions of these moving objects. The compact video rearranges the spatiotemporal coordinates of moving objects to enhance the compression, but the temporal relationships among moving objects are still kept. The compact video can preserve the essential activities involved in the original surveillance video. This paper presents the details of browsing system and the approach to producing the compact video from a source surveillance video. At the end we will get the compact video with high resolution}, added-at = {2015-08-11T07:32:19.000+0200}, author = {Kamble, Kirti K. and Bhosale., Prof. S. P.}, biburl = {https://www.bibsonomy.org/bibtex/2ca4f329275379cd3354fc680b7c3ef4f/ijritcc}, doi = {10.17762/ijritcc2321-8169.150382}, interhash = {ee757ce4e34df18c30c090ca3d4959ba}, intrahash = {ca4f329275379cd3354fc680b7c3ef4f}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Adaptive Background Colour Filter Image Indexing Input Pre-processing Subtraction enhancement filter image segmentation video}, month = {march}, number = 3, pages = {1268--1273}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-11T07:32:19.000+0200}, title = {A Smart Browsing System with Colour Image Enhancement for Surveillance Videos}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150382}, volume = 3, year = 2015 }