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

Uncultured

拘留

Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Rad 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,

panorama

Fast QTMT Decision for H.266/VVC via Jointly Leveraging Neural Network and Machine Learning Models266/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

Evolve

Human-Centered Financial Signal Processing: A Case Study on Stock Chart Analysistion 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

expeditious

Unsupervised Event-to-Image Reconstruction Based on Domain Adaptationy 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

photopsia

原告

(AUIQE), a novel end-to-end IQA approach suitable for UIQA tasks. Specifically, we introduced channel and spatial dual attention mechanisms on the basis of the distortion characteristics of underwater images to make the network focus on some channels and spatial regions that are relevant to image q

解冻

experienced observers to obtain mean opinion scores (MOS). We analyze the I2QED database using 13 traditional and advanced objective quality evaluation measures. Experimental results confirm the effectiveness and versatility of the proposed database, and weaknesses of existing algorithms.

Admonish

ppression algorithm based on salient objects (SO-NMS) to filter the recommended viewports. In the quality assessment stage, we utilizes a dense network to predict the quality scores of each viewport and then integrates these scores to obtain the video quality score. Experimental results demonstrate

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