Recently, Salient object detection has attracted a lot of interest in computer vision as it essential for many applications such as object detection and recognition, image compression, video summarization and photo collage.
SIPER is an educational tool developed in SIPL. It demonstrates speech, audio and image processing techniques and can also be used as an analysis tool for research purposes. SIPER allows experimentation with key parameters of each technique and shows both intermediate and final results. It is very modular and its modules can be written in C/C++.
Two Algorithms for Saliency Detection were simulated, and then implemented and compared in this project:
1. Spectral Residual Approach
2. Salient Object Segmentation Based on Context and Shape Prior