Titlebook: Smart Multimedia; Second International Troy McDaniel,Stefano Berretti,Anup Basu Conference proceedings 2020 Springer Nature Switzerland AG

名次后缀

胶状

Background Subtraction by Difference Clusteringring the difference vectors between pixels in the current frame and in the background image set, and present a novel background subtraction method called Difference Clustering. This not only saves computational time, but also achieves high Pr and Fm values for accuracy. In particular, the difference

人造

Semantic Learning for Image Compression (SLIC)ng about the best approach with compression ratio, visual quality and complexity of the architecture as the main criteria of evaluation. Most recent one is the advancements in machine learning and its applications on image classification. Researchers are currently exploring the possibility of using

辩论

Background Subtraction Based on Principal Motion for a Freely Moving Cameraen more challenging once the videos are obtained with a moving camera. To solve the challenging task, we analyze the principal motion of pixels for subtracting background in videos obtained from freely moving cameras. In particular, the optical flow is captured for the representation of motion for p

annexation

彻底明白

Potential of Deep Features for Opinion-Unaware, Distortion-Unaware, No-Reference Image Quality Assestional methods required a non-distorted “reference” version of the input image to compare with, in order to predict this score. However, recent “No-reference” methods circumvent this requirement by modelling the distribution of clean image features, thereby making them more suitable for practical us

死猫他烧焦

Non-invasive Lactate Threshold Estimation Using Machine Learningrformance in different sports. Traditionally, measuring LT requires frequent collection of blood samples from individuals under specific spatiotemporal conditions. This procedure causes discomfort to individuals besides test related cost. In this paper, we propose a non-invasive model to estimate LT

sleep-spindles

GLOSS

流出

Foveated Haptic Gazeds are becoming increasingly disenfranchised. More often than not the design of these environments focuses on vision, making them inaccessible in whole or in part to people with visual impairments. Accessible games and visual aids have been developed but their lack of prevalence or unintuitive inter