Designing Deep Leaning frameworks for Image Aesthetics
نویسندگان
چکیده
منابع مشابه
Brain-Inspired Deep Networks for Image Aesthetics Assessment
Image aesthetics assessment has been challenging due to its subjective nature. Inspired by the scientific advances in the human visual perception and neuroaesthetics, we design Brain-Inspired Deep Networks (BDN) for this task. BDN first learns attributes through the parallel supervised pathways, on a variety of selected feature dimensions. A high-level synthesis network is trained to associate ...
متن کاملHapticPrint: Designing Feel Aesthetics for 3D Printing
Digital fabrication has enabled massive creativity in hobbyist communities and professional product design. These emerging technologies excel at realizing an arbitrary shape or form; however these objects are often rigid and lack the feel desired by designers. We aim to enable physical haptic design in passive 3D printed objects. This paper identifies two core areas for extending physical desig...
متن کاملDesigning Object-Oriented Frameworks
Most software reuse has focused on code reuse, such as reusing parts of existing applications, reusing library functions or reusing pre-built components. With the recent interest in design patterns [Gamma et al., 1995] and object-oriented frameworks, the focus is shifting away from just reusing code to reusing existing designs as well. Design patterns provide a reusable piece of a design which ...
متن کاملFrameworks for Designing In-place Graph Algorithms
Read-only memory (ROM) model is a classical model of computation to study time-space tradeoffs of algorithms. One of the classical results on the ROM model is that any sorting algorithm that uses O(s) words of extra space requires Ω(n2/s) comparisons for lg n ≤ s ≤ n/ lg n1 and the bound has also been recently matched by an algorithm. However, if we relax the model (from ROM), we do have sortin...
متن کاملImage Statistical Frameworks for Digital Image
IMAGE STATISTICAL FRAMEWORKS FOR DIGITAL IMAGE FORENSICS by Patchara Sutthiwan The advances of digital cameras, scanners, printers, image editing tools, smartphones, tablet personal computers as well as high-speed networks have made a digital image a conventional medium for visual information. Creation, duplication, distribution, or tampering of such a medium can be easily done, which calls for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2020
ISSN: 2321-9653
DOI: 10.22214/ijraset.2020.31946