Assessing Visual Quality of Omnidirectional Videos

Visual quality assessment for web videos

The advent of video-sharing sites such as YouTube has led to an unprecedented Internet delivery of community-contributed video content. However, most of these videos are not quality-controlled. This paper reports a first attempt towards assessing web videos in terms of visual quality with significant tests on 30k web videos. We regard the quality assessment as a two-class classification problem...

Visual Quality Evaluation for Images and Videos

Rotation Removed Stabilization of Omnidirectional Videos Using Optical Flow

Omnidirectional cameras are often used with robots to provide an immersive view of the surroundings. However, robots often have unstable motion and undergo rotation. In this work, we formulate a method to stabilize the viewpoint of Omnidirectional videos by removing the rotation using dense optical flow fields. The method works by first projecting each Omnidirectional video frame on a unit sphe...

Visual Attributes in Videos

Attributes are descriptive characteristics with crosscategory applicability. They can be used to provide additional information that is not found in simple object classification, giving the computer a complete picture of the item and the state in which it appears. While attribute prediction has been studied extensively in still images, this is not the case in videos. However, there exist visual...

Stabilizing Omnidirectional Videos Using 3D Structure and Spherical Image Warping

This paper addresses the problem of stabilizing spherical videos. Whereas various techniques have been proposed to stabilize conventional videos, this work is the first approach proposed for omnidirectional videos. We introduce a method for extracting the camera path and 3D information of the environment. A desired smooth stabilized path is obtained by modifying the original camera path. We pro...