Satsal: A multi-level self-attention based architecture for visual saliency prediction
Human visual Attention modelling is a persistent interdisciplinary research challenge,
gaining new interest in recent years mainly due to the latest developments in deep learning …
gaining new interest in recent years mainly due to the latest developments in deep learning …
No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion
D Varga - Sensors, 2022 - mdpi.com
With the constantly growing popularity of video-based services and applications, no-
reference video quality assessment (NR-VQA) has become a very hot research topic. Over …
reference video quality assessment (NR-VQA) has become a very hot research topic. Over …
Estimating depth-salient edges and its application to stereoscopic image quality assessment
S Khan, SS Channappayya - IEEE Transactions on Image …, 2018 - ieeexplore.ieee.org
The human visual system pays attention to salient regions while perceiving an image. When
viewing a stereoscopic 3-D (S3D) image, we hypothesize that while most of the contribution …
viewing a stereoscopic 3-D (S3D) image, we hypothesize that while most of the contribution …
Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding
In three dimensional video coding (3-DVC), it is reasonable to allocate bits for texture videos
and depth maps differently as the characteristic of texture videos is different with that of …
and depth maps differently as the characteristic of texture videos is different with that of …
A saliency-based technique for advertisement layout optimisation to predict customers' behaviour
Customer retail environments represent an exciting and challenging context to develop and
put in place cutting-edge computer vision techniques for more engaging customer …
put in place cutting-edge computer vision techniques for more engaging customer …
Detection of saliency map as image feature outliers using random projections based method
R Damaševičius, R Maskeliūnas… - 2017 13th …, 2017 - ieeexplore.ieee.org
We describe a novel method based on Random Projections for construction of image
saliency maps. The method identifies outliers in the 2D projections of image point features …
saliency maps. The method identifies outliers in the 2D projections of image point features …
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
A Bruno - arXiv preprint arXiv:2108.12068, 2021 - arxiv.org
A growing number of commercially available mobile phones come with integrated high-
resolution digital cameras. That enables a new class of dedicated applications to image …
resolution digital cameras. That enables a new class of dedicated applications to image …
Method of selecting versions of a document from a plurality of versions received after a search, and related receiver
The present invention pertains to a method for selecting a version of a document. The user
inputs an identifier of a document at the level of his receiver connected to at least one …
inputs an identifier of a document at the level of his receiver connected to at least one …
[PDF][PDF] Saliency-based deep blind image quality assessment
Assessing the quality of images is a challenging task. To achieve this goal, the images must
be evaluated by a pool of subjects following a well-defined assessment protocol or an …
be evaluated by a pool of subjects following a well-defined assessment protocol or an …
印刷された濃度ムラの視認性と入力画像特徴量の相関関係
峯岸なつ子， 内川惠二 - 日本画像学会誌, 2017 - jstage.jst.go.jp
抄録 印刷画像の画質を劣化させる濃度ムラは, 濃度差が大きくても, 市場で出力される一般画像上
では目立たない場合がある. 本研究では, 濃度ムラの視認性に影響を及ぼす入力画像の特徴量を …
では目立たない場合がある. 本研究では, 濃度ムラの視認性に影響を及ぼす入力画像の特徴量を …