Mulsemedia: State of the art, perspectives, and challenges
Mulsemedia—multiple sensorial media—captures a wide variety of research efforts and
applications. This article presents a historic perspective on mulsemedia work and reviews …
applications. This article presents a historic perspective on mulsemedia work and reviews …
Mean squared error: Love it or leave it? A new look at signal fidelity measures
In this article, we have reviewed the reasons why we (collectively) want to love or leave the
venerable (but perhaps hoary) MSE. We have also reviewed emerging alternative signal …
venerable (but perhaps hoary) MSE. We have also reviewed emerging alternative signal …
Perceptual visual quality metrics: A survey
Visual quality evaluation has numerous uses in practice, and also plays a central role in
shaping many visual processing algorithms and systems, as well as their implementation …
shaping many visual processing algorithms and systems, as well as their implementation …
Visual quality assessment: recent developments, coding applications and future trends
Research on visual quality assessment has been active during the last decade. In this work,
we provide an in-depth review of recent developments in the field. As compared with …
we provide an in-depth review of recent developments in the field. As compared with …
Information content weighting for perceptual image quality assessment
Many state-of-the-art perceptual image quality assessment (IQA) algorithms share a
common two-stage structure: local quality/distortion measurement followed by pooling …
common two-stage structure: local quality/distortion measurement followed by pooling …
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort
in tasks, such as object detection and recognition. Similarly, prominent actions in video …
in tasks, such as object detection and recognition. Similarly, prominent actions in video …
Saliency detection in the compressed domain for adaptive image retargeting
Saliency detection plays important roles in many image processing applications, such as
regions of interest extraction and image resizing. Existing saliency detection models are built …
regions of interest extraction and image resizing. Existing saliency detection models are built …
A video saliency detection model in compressed domain
Saliency detection is widely used to extract regions of interest in images for various image
processing applications. Recently, many saliency detection models have been proposed for …
processing applications. Recently, many saliency detection models have been proposed for …
Video saliency incorporating spatiotemporal cues and uncertainty weighting
We propose a novel algorithm to detect visual saliency from video signals by combining both
spatial and temporal information and statistical uncertainty measures. The main novelty of …
spatial and temporal information and statistical uncertainty measures. The main novelty of …
Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain
In image and video processing field, an effective compression algorithm should remove not
only the statistical redundancy information but also the perceptually insignificant component …
only the statistical redundancy information but also the perceptually insignificant component …