White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Visual Saliency Estimation Via HEVC Bitstream Analysis

DAI, XU (2018) Visual Saliency Estimation Via HEVC Bitstream Analysis. MPhil thesis, University of Sheffield.

[img]
Preview
Text (thesis)
final thesis XU DAI.pdf
Available under License Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales.

Download (2917Kb) | Preview

Abstract

Abstract Since Information Technology developed dramatically from the last century 50's, digital images and video are ubiquitous. In the last decade, image and video processing have become more and more popular in biomedical, industrial, art and other fields. People made progress in the visual information such as images or video display, storage and transmission. The attendant problem is that video processing tasks in time domain become particularly arduous. Based on the study of the existing compressed domain video saliency detection model, a new saliency estimation model for video based on High Efficiency Video Coding (HEVC) is presented. First, the relative features are extracted from HEVC encoded bitstream. The naive Bayesian model is used to train and test features based on original YUV videos and ground truth. The intra frame saliency map can be achieved after training and testing intra features. And inter frame saliency can be achieved by intra saliency with moving motion vectors. The ROC of our proposed intra mode is 0.9561. Other classification methods such as support vector machine (SVM), k nearest neighbors (KNN) and the decision tree are presented to compare the experimental outcomes. The variety of compression ratio has been analysis to affect the saliency.

Item Type: Thesis (MPhil)
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield)
Depositing User: MISS XU DAI
Date Deposited: 18 Jun 2018 08:28
Last Modified: 01 Feb 2019 01:18
URI: http://etheses.whiterose.ac.uk/id/eprint/20103

You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.

Actions (repository staff only: login required)