Open AccessProceedings Article
Image Processing
Reads0
Chats0
TLDR
The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.Abstract:
MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.read more
Citations
More filters
Proceedings ArticleDOI
Cross-Domain 3D Model Retrieval via Visual Domain Adaption.
TL;DR: The proposed method can significantly outperform the most recent method for cross-domain 3D model retrieval and the champion of Shrec’16 Large-Scale 3D Shape Retrieval from ShapeNet Core55.
Proceedings Article
Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification
TL;DR: This paper shows how to classify the medical ultrasound images by using artificial intelligence with experimental software with MATLAB for a classification of ROI substantia nigra in midbrain which is useful to detection Parkinson's disease.
Book ChapterDOI
OCR of printed telugu text with high recognition accuracies
TL;DR: Telugu is one of the oldest and popular languages of India spoken by more than 66 million people especially in South India and development of Optical Character Recognition systems for Telugu text is an area of current research.
Journal ArticleDOI
Enriched Environment Significantly Reduced Senile Plaques in a Transgenic Mice Model of Alzheimer's Disease, Improving Memory.
Janaina Balthazar,Natalia Mendes Schöwe,Gabriela Cabett Cipolli,Hudson Sousa Buck,Tania Araujo Viel +4 more
TL;DR: It is suggested that the stimulation of old mice by EE for 4 months led to the formation of brain resilience that protected the brain from the deposition of senile plaques, one of the hallmarks of AD, leading to improvement in spatial memory.
Journal ArticleDOI
Critical Functionality Effects from Storage Temperature on Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cell Suspensions
TL;DR: This study provides new insight into various non-freezing temperature effects on hiPSC-RPE cells that are highly relevant to clinical applications and may improve cooperation between laboratories and hospitals.
References
More filters
Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
Journal ArticleDOI
Perfusion-decellularized matrix: using nature's platform to engineer a bioartificial heart
Harald C. Ott,Thomas S Matthiesen,Saik Kia Goh,Lauren D. Black,Stefan M. Kren,Theoden I. Netoff,Doris A. Taylor +6 more
TL;DR: Eight constructs decellularized hearts by coronary perfusion with detergents, preserved the underlying extracellular matrix, and produced an acellular, perfusable vascular architecture, competent a cellular valves and intact chamber geometry that could generate pump function in a modified working heart preparation.
Journal ArticleDOI
Iris recognition: an emerging biometric technology
TL;DR: This paper examines automated iris recognition as a biometrically based technology for personal identification and verification from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric assessment.