Results 11 to 20 of about 12,985,730 (296)
, 2014 This paper considers the ontological significance of invisibility in relation to the question ‘what is a digital image?’ Its argument in a nutshell is that the emphasis on visibility comes at the expense of latency and is symptomatic of the style of ...
Rubinstein, Daniel
core +5 more sources
Hyperbolic Image-Text Representations
CoRR, 2023 Visual and linguistic concepts naturally organize themselves in a hierarchy, where a textual concept "dog" entails all images that contain dogs. Despite being intuitive, current large-scale vision and language models such as CLIP do not explicitly capture such hierarchy.
Karan Desai +4 more
openaire +4 more sources
Quantum Steganography Using Two Hidden Thresholds
Advances in Electrical and Computer Engineering, 2021 This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit ...
TUDORACHE, A.-G. +2 more
doaj +1 more source
Evidence for Holistic Representations of Ignored Images and Analytic Representations of Attended Images. [PDF]
Journal of Experimental Psychology: Human Perception and Performance, 2004 According to the hybrid theory of object recognition (J. E. Hummel, 2001), ignored object images are represented holistically, and attended images are represented both holistically and analytically. This account correctly predicts patterns of visual priming as a function of translation, scale (B. J. Stankiewicz & J. E.
Davidoff, Jules B. +2 more
openaire +3 more sources
Generating Images with Sparse Representations
CoRR, 2021 The high dimensionality of images presents architecture and sampling-efficiency challenges for likelihood-based generative models. Previous approaches such as VQ-VAE use deep autoencoders to obtain compact representations, which are more practical as inputs for likelihood-based models.
Charlie Nash +3 more
openaire +4 more sources
Multi modal multi-semantic image retrieval [PDF]
, 2010 PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
core +4 more sources
Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation
IEEE Access, 2020 Projective non-negative matrix factorization (PNMF) as a variant of NMF has received considerable attention. However, the existing PNMF methods can be further improved from two aspects.
Peng Luo +7 more
doaj +1 more source
FNRegion: A fast NAM‐based region extraction algorithm
IET Image Processing, 2023 Region extraction is usually used by many computer vision tasks as a pre‐processing step to extract image features. However, how to efficiently extract effective regions remains a challenging problem.
Yunping Zheng, Bowen Yang, Mudar Sarem
doaj +1 more source
Representing Blurred Image without Deblurring
Mathematics, 2023 The effective recognition of patterns from blurred images presents a fundamental difficulty for many practical vision tasks. In the era of deep learning, the main ideas to cope with this difficulty are data augmentation and deblurring.
Shuren Qi +3 more
doaj +1 more source
Sparse image representation with epitomes [PDF]
CVPR 2011, 2011 Computer Vision and Pattern Recognition, Colorado Springs : United States (2011)
Benoît, Louise +3 more
openaire +5 more sources