My Account | Careers | Downloads | Blog

PROJECT TITLE :

Saliency Prediction on Stereoscopic Videos - 2014

ABSTRACT:

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

Motion Estimation Stereo Image Processing Video Signal Processing Image Sensors Stereoscopic Scene Classification Eye-Tracker Saliency Strength Saliency Energy Human Visual System
PROJECT TITLE : Saliency-Based Multilabel Linear Discriminant Analysis ABSTRACT: The objective of the traditional statistical machine-learning method known as linear discriminant analysis (LDA), which seeks to find a linear data
PROJECT TITLE : Accurate and Robust Video Saliency Detection via Self-Paced Diffusion ABSTRACT: In order to estimate video saliency in the short term, traditional video saliency detection algorithms usually follow the common
PROJECT TITLE : Deep Saliency Hashing for Fine-Grained Retrieval ABSTRACT: Using hashing algorithms for large-scale web media search has proven to be useful and efficient in recent years However, the current general hashing algorithms
PROJECT TITLE : Deep Visual Saliency on Stereoscopic Images ABSTRACT: Quality of stereoscopic 3D images has been demonstrated to have a significant impact on visual saliency in S3D images. As a result, this dependency is critical
PROJECT TITLE : RGB-D Saliency Detection With Pseudo Depth ABSTRACT: The use of depth information in the recognition of salient objects has been demonstrated in recent studies. There are still a lot of photos out there that don't

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

Project Enquiry