This paper addresses the problem of pixel-level segmentation and classification of scene
images with an entirely learning-based approach using Long Short Term Memory (LSTM) …

Visual discomfort is a significant obstacle to the wider use of stereoscopic 3D displays. Many
studies have identified the most common causes of discomfort, and a rich body of literature …

Saliency detection aims to detect the most attractive objects in images, which has been
widely used as a foundation for various multimedia applications. In this paper, we propose a …

In this paper, we propose a framework for automatically producing thumbnails from stereo
image pairs. It has two components focusing respectively on stereo saliency detection and …

This paper presents the first attempt at stereoscopic neural style transfer, which responds to
the emerging demand for 3D movies or AR/VR. We start with a careful examination of …

With the development of display technologies, image retargeting plays a significant role in
computer vision and pattern recognition communities currently. Image retargeting aims to …

Image retargeting algorithms attempt to adapt the image content to the screen without
distorting the important objects in the scene. Existing methods address retargeting of a …

In this paper, we propose a pixel fusion-based stereo image retargeting method, which
could adaptively retarget stereo images with flexible aspect ratios, simultaneously …

Despite remarkable advances in virtual reality (VR) technologies, serious challenges remain
in making extended VR sessions with head-mounted displays (HMDs) thoroughly …

This paper proposes a content-aware image resizing method which simultaneously
preserves both salient image features and important line structure properties: parallelism …