An eye fixation database for saliency detection in images
To learn the preferential visual attention given by humans to specific image content, we
present NUSEF-an eye fixation database compiled from a pool of 758 images and 75 …
present NUSEF-an eye fixation database compiled from a pool of 758 images and 75 …
Indoor scene recognition via object detection and TF-IDF
E Heikel, L Espinosa-Leal - Journal of Imaging, 2022 - mdpi.com
Indoor scene recognition and semantic information can be helpful for social robots.
Recently, in the field of indoor scene recognition, researchers have incorporated object-level …
Recently, in the field of indoor scene recognition, researchers have incorporated object-level …
An enhanced bag-of-visual word vector space model to represent visual content in athletics images
Images that have a different visual appearance may be semantically related using a higher
level conceptualization. However, image classification and retrieval systems tend to rely only …
level conceptualization. However, image classification and retrieval systems tend to rely only …
Optimized CNN based image recognition through target region selection
W Hao, R Bie, J Guo, X Meng, S Wang - Optik, 2018 - Elsevier
Image recognition has plateaued in the last few years. According to this research field, some
complicated models typically combined feature extraction and classification models …
complicated models typically combined feature extraction and classification models …
Visual pattern discovery in image and video data: a brief survey
In image and video data, visual pattern refers to re‐occurring composition of visual
primitives. Such visual patterns extract the essence of the image and video data that convey …
primitives. Such visual patterns extract the essence of the image and video data that convey …
Neighborhood matching for image retrieval
I Gonzalez-Diaz, M Birinci… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In the last few years, large-scale image retrieval has attracted a lot of attention from the
multimedia community. Usual approaches addressing this task first generate an initial …
multimedia community. Usual approaches addressing this task first generate an initial …
Optimized recognition with few instances based on semantic distance
In this paper, we present a new object recognition model with few instances based on
semantic distance. Learning objects with many instances have been studied in computer …
semantic distance. Learning objects with many instances have been studied in computer …
A novel deep hashing method for fast image retrieval
S Cheng, H Lai, L Wang, J Qin - The Visual Computer, 2019 - Springer
In recent years, the deep hashing image retrieval algorithm has become a hot spot in current
research. Although the deep hashing algorithm has achieved good results in image …
research. Although the deep hashing algorithm has achieved good results in image …
Joint entropy based learning model for image retrieval
As one classic technique of computer vision, image retrieval could retrieve the target images
from hundreds of thousands of images effectively. Furthermore, with the rapid development …
from hundreds of thousands of images effectively. Furthermore, with the rapid development …
[PDF][PDF] Image Classification Using Naive Bayes Classifier With Pairwise Local Observations.
SC Hsu, IC Chen, CL Huang - J. Inf. Sci. Eng., 2017 - academia.edu
Image classification has been a challenging unsolved problem due to the complexity of
image contents. It has been a popular research subject of many recently published …
image contents. It has been a popular research subject of many recently published …