• Praveen Verma
• Abhay Bhatia
• Parag Jain
• Bhuvenashwer Swaroop
• Gaurav Chaturvedi

The built-up of the system is used to calculate the stereoscopic video highlight map based on a combination of visual, motion, and depth enhancements. And these three representation maps are dynamically combined into the final representation map. The working of a system can be made more efficient by reducing the three highlighting techniques to one system. The graph-based approach is used to calculate visual emphasis. GBVS is used to efficiently run global competition between targets and distractors in complex scenes. GBVS shows a higher representation in the center of the image plane and more consistently infers the human gaze than other standard algorithms. The main application of this system is to use saliency maps to identify pirated content, while other applications are image/video compression, object detection and detection, and readdressing of images. The system also needs to recognize blurred areas in stereoscopic images.1. 44

Saliency maps detection for stereoscopic video based on the combination of visual Saliency, motion saliency, and depth Saliency

"Saliency maps detection for stereoscopic video based on the combination of visual Saliency, motion saliency, and depth Saliency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.661-666, April-2019, Available :http://www.jetir.org/papers/JETIR1904V43.pdf

"Saliency maps detection for stereoscopic video based on the combination of visual Saliency, motion saliency, and depth Saliency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp661-666, April-2019, Available at : http://www.jetir.org/papers/JETIR1904V43.pdf