Recent developments of content-based image retrieval (CBIR)
X Li, J Yang, J Ma - Neurocomputing, 2021 - Elsevier
With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …
Recent advance in content-based image retrieval: A literature survey
The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …
the prosperity of research activity in image search or retrieval. With the ignorance of visual …
A novel features ranking metric with application to scalable visual and bioinformatics data classification
Coming with the big data era, the filtering of uninformative data becomes emerging. To this
end, ranking the high dimensionality features plays an important role. However, most of the …
end, ranking the high dimensionality features plays an important role. However, most of the …
Deep video hashing
In this work, we propose a deep video hashing (DVH) method for scalable video search.
Unlike most existing video hashing methods that first extract features for each single frame …
Unlike most existing video hashing methods that first extract features for each single frame …
Feature learning based on SAE–PCA network for human gesture recognition in RGBD images
Coming with the emerging of depth sensors link Microsoft Kinect, human hand gesture
recognition has received ever increasing research interests recently. A successful gesture …
recognition has received ever increasing research interests recently. A successful gesture …
Robust discrete code modeling for supervised hashing
Recent years have witnessed the promising efficacy and efficiency of hashing (also known
as binary code learning) for retrieving nearest neighbor in large-scale data collections …
as binary code learning) for retrieving nearest neighbor in large-scale data collections …
Fusion of multichannel local and global structural cues for photo aesthetics evaluation
L Zhang, Y Gao, R Zimmermann… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Photo aesthetic quality evaluation is a fundamental yet under addressed task in computer
vision and image processing fields. Conventional approaches are frustrated by the following …
vision and image processing fields. Conventional approaches are frustrated by the following …
Event causality extraction based on connectives analysis
Causality is an important type of relation which is crucial in numerous tasks, such as
predicting future events, generating scenario, question answering, textual entailment and …
predicting future events, generating scenario, question answering, textual entailment and …
Microblog sentiment analysis based on cross-media bag-of-words model
Sentiment analysis on social networks has attracted ever increasing attention in recent
years. To this end, most existing methods mainly focus on analyzing the textual information …
years. To this end, most existing methods mainly focus on analyzing the textual information …
A cross-media public sentiment analysis system for microblog
Since classical public sentiment analysis systems for microblog are based on the text
sentiment analysis, it is difficult to determine the sentiment of short text without clear …
sentiment analysis, it is difficult to determine the sentiment of short text without clear …