Results 21 to 30 of about 363,003 (273)
Dehazed Image Quality Assessment Method Based on Fog Density Perception Enhancement [PDF]
The Dehazed Image Quality Assessment(DIQA) method plays an important role in research on the image dehazing algorithm.At present,the dehazing quality assessment method has the problem of insufficient fog density perceived ability.In this regard,a new ...
ZHU Qinquan, WANG Tonghan, JIA Huizhen
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User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues
Integrating information about the listener’s cultural background when building music recommender systems has recently been identified as a means to improve recommendation quality.
Eva Zangerle +2 more
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Blind Image Quality Assessment for Super Resolution via Optimal Feature Selection
Methods for image Super Resolution (SR) have started to benefit from the development of perceptual quality predictors that are designed for super resolved images.
Juan Beron +2 more
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Human visual perceptual model is a key factor for evaluating stereoscopic image quality. This paper focuses on the contributions of monocular and binocular properties on quality perception and proposes a novel blind stereoscopic image quality assessment ...
Yun Liu +4 more
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Architecture of a context-aware and adaptive learning schedule for learning Java [PDF]
Novice programmers require large amounts of time and motivation to learn an object-oriented programming language such as Java. In this paper, the architecture of our Context-aware and Adaptive Learning Schedule (CALS) tool is described. The tool has been
Mike Joy +3 more
core +1 more source
No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion
Image quality assessment (IQA) aims to devise computational models to evaluate image quality in a perceptually consistent manner. In this paper, a novel no-reference image quality assessment model based on dual-domain feature fusion is proposed, dubbed ...
Yueli Cui
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Joint Attentive Spatial-Temporal Feature Aggregation for Video-Based Person Re-Identification
Video-based person re-identification (Re-ID) remains to be a promising but challenging computer vision task, suffering from a lack of discriminative features that better aggregate both the spatial and temporal information.
Lin Chen, Hua Yang, Zhiyong Gao
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Stereoscopic Image Quality Assessment by Considering Binocular Visual Mechanisms
With the booming of 3-D image processing in the entertainment industry and 3-D multimedia applications todays, the technology for assessing the quality of stereoscopic image faces more challenging tasks than its 2-D counterparts, such as binocular ...
Guangming Sun +5 more
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FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking.
This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking). We propose a novel deep network architecture called qualityaware Feature Aggregation Network (FANet) for robust RGBT tracking.
Yabin Zhu +5 more
openaire +3 more sources
While visual appearances play a main role in recognizing the concepts captured in images, additional information can provide complementary information for fine-grained image recognition, where concepts with similar visual appearances such as species of ...
Naoko Nitta +2 more
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