Saliency Prediction on Stereoscopic Videos - 2014


We describe a new 3D saliency prediction model that accounts for numerous low-level luminance, chrominance, motion, and depth attributes of 3D videos plus high-level classifications of scenes by kind. The model additionally accounts for perceptual factors, like the nonuniform resolution of the human eye, stereoscopic limits imposed by Panum's fusional area, and the expected degree of (dis) comfort felt, when viewing the 3D video. The high-level analysis involves classification of each 3D video scene by sort with regard to estimated camera motion and therefore the motions of objects within the videos. Decisions regarding the relative saliency of objects or regions are supported by information obtained through a series of eye-tracking experiments. The algorithm developed from the model elements operates by finding and segmenting salient 3D area-time regions during a video, then calculating the saliency strength of each section using measured attributes of motion, disparity, texture, and the predicted degree of visual discomfort experienced. The saliency energy of each segmented objects and frames are weighted using models of human foveation and Panum's fusional area yielding a single predictor of 3D saliency.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Saliency Detection via Absorbing Markov Chain With Learnt Transition Probability - 2018ABSTRACT:During this Project, we propose a bottom-up saliency model based on absorbing Markov chain (AMC). Initial, a sparsely
PROJECT TITLE :Reversion Correction and Regularized Random Walk Ranking for Saliency Detection - 2018ABSTRACT:In recent saliency detection research, several graph-based mostly algorithms have applied boundary priors as background
PROJECT TITLE :Image Co-Saliency Detection Via Locally Adaptive Saliency Map Fusion - 2017ABSTRACT:Co-saliency detection aims at discovering the common and salient objects in multiple pictures. It explores not solely intra-image
PROJECT TITLE : Learning a combined model of visual Saliency for fixation prediction - 2016 ABSTRACT: A giant variety of saliency models, every primarily based on a totally different hypothesis, are proposed over the past twenty
PROJECT TITLE : Saliency detection for stereoscopic images based on Depth confidence analysis and multiple cues fusion - 2016 ABSTRACT: Stereoscopic perception is a vital half of human visual system that enables the brain to

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry