Titlebook: Digital Multimedia Communications; 20th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2024 The Editor(s) (if

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d as frame substitution for transmission. The overall system employs deep model to encode expression features at the sender and reconstruct portrait at the receiver with volume rendering as decoder for ultra-low bandwidth. In particular, with the characteristic of neural radiance fields based model,

啜泣

266/VVC. On the other hand, for small-size CUs, the neural model is inadequate due to the insufficient pixels for correlation exploration. We thus directly apply the ML model for early terminating the horizontal or vertical partition of each CU. We exemplify the proposed method using typical ML mode

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https://doi.org/10.1007/978-94-009-9509-3tion strategy is more focused overall and has less excess attention at the edges. This visual optimization will enhance people’s observation experience. The proposed model has great potential for two application scenarios: (1) instruct amateur traders how to observe stock charts; and (2) evaluate st

characteristic

M/G/1 Queues Using Markov Chains and LSTs,y by transferring the knowledge from IE to E2IR. To better transfer the knowledge, we additionally design a multi-scale adversarial training method at the image-level features to bridge the domain gap. Experimental results show that the performance of our proposed Multi-scale Domain Adaptation based

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,Best Case: Dr. Oetker Österreich,ection to be inward for exploitation or outward for exploration. Experiments have been carried out on 13 classical benchmark functions and the CEC2013 test suite to study the proposed mutation strategy. The experimental results show that the exploitation and exploration rates have a considerable eff

使迷醉

AUIQE: Attention-Based Underwater Image Quality Evaluatorvelopment, underwater exploration, and more. Due to the different attenuation rates of light at different wavelengths and the effects of the absorption and scattering of light by suspended particles in the water, there are many types of distortion in the acquired underwater images. Most underwater i

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Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixelinal panoramic images. In this paper, we propose a perceptual blind PIQA method based super-pixel, which exploits the equirectangular projection (ERP) and human perception characteristics for panoramic image to boost up the quality assessment performance. In particular, in order to make use of the l

COM

Image Aesthetics Assessment Based on Visual Perception and Textual Semantic Understandingription of an image. With the dual-modal support of image and text, the image aesthetics assessment model will further reflect its superiority. To this end, we design a multimodal feature-driven guided image aesthetics assessment model (MFD). Firstly, multi-modal features are extracted through the f