Visualizations memorability through visual attention and image features
نویسندگان
چکیده
منابع مشابه
Scene Recognition through Visual Attention and Image Features: A Comparison between SIFT and SURF Approaches
In this work we study how we can use a novel model of spatial saliency (visual attention) combined with image features to significantly accelerate a scene recognition application and, at the same time, preserve recognition performance. To do so, we use a mobile robotlike application where scene recognition is carried out through the use of image features to characterize the different scenarios,...
متن کاملMemorability of Image Regions
While long term human visual memory can store a remarkable amount of visual information, it tends to degrade over time. Recent works have shown that image memorability is an intrinsic property of an image that can be reliably estimated using state-of-the-art image features and machine learning algorithms. However, the class of features and image information that is forgotten has not been explor...
متن کاملComputational Understanding of Image Memorability
Previous studies have identified that images carry the attribute of memorability, a predictive value of whether a novel image will be later remembered or forgotten. In this thesis we investigate the interplay between intrinsic and extrinsic factors that affect image memorability. First, we find that intrinsic differences in memorability exist at a finer-grained scale than previously documented....
متن کاملImage retrieval using visual attention
Author: Liam M. Mayron Title: Image retrieval using visual attention Institution: Florida Atlantic University Dissertation Advisor: Dr. Oge Marques Degree: Doctor of Philosophy Year: 2008 The retrieval of digital images is hindered by the semantic gap. The semantic gap is the disparity between a user’s high-level interpretation of an image and the information that can be extracted from an image...
متن کاملImage Captioning using Visual Attention
This project aims at generating captions for images using neural language models. There has been a substantial increase in number of proposed models for image captioning task since neural language models and convolutional neural networks(CNN) became popular. Our project has its base on one of such works, which uses a variant of Recurrent neural network coupled with a CNN. We intend to enhance t...
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: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.01.129