作者: MIRTH 時間: 2025-3-21 22:55
ULIC: Ultra Lightweight Image Coder on?Wearable Devices low-power chip, ULIC outperforms well-optimized JPEG coders with about 6%–22% compression efficiency gains, 10. - 30. faster decoding, and 17% less power consumption, making it practically attractive in applications.作者: 牽連 時間: 2025-3-22 02:25 作者: 蛤肉 時間: 2025-3-22 06:44
1865-0929 ized in topical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Quality Assessment,?Source Coding, and Application of AI..978-981-97-3625-6978-981-97-3626-3Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 小畫像 時間: 2025-3-22 09:47
Conference proceedings 2024, December 21–22, 2023...The 57 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Qua作者: diskitis 時間: 2025-3-22 16:23 作者: diskitis 時間: 2025-3-22 19:22
lti-modal combination features that contain multiple characteristics. Finally, the obtained multi-modal are combined for aesthetic assessment prediction. Experimental results on public image aesthetics assessment databases demonstrate the superiority of our model.作者: 不近人情 時間: 2025-3-23 01:12
nto the network for extracting relevant feature mappings. Finally, all sub-networks are used for quality scoring predictions, resulting in the final perceptual quality score. Experiments conducted on the LIVE dataset have demonstrated the superiority of this approach.作者: Defense 時間: 2025-3-23 02:18
ine semantic compression experiments on three different datasets. The results demonstrate the superiority of our proposed approach over traditional compression coding methods and incomplete end-to-end compression methods in terms of the trade-off between bit rate and quality.作者: 旋轉(zhuǎn)一周 時間: 2025-3-23 09:16
n prediction models using a ’decision-fusion’ approach, resulting in our final PM. concentration measurement model. Through rigorous testing, we confirm that this method outperforms existing photo-based PM. monitoring techniques in terms of both accuracy and efficiency.作者: 瑪瑙 時間: 2025-3-23 10:44
Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel, we fuse and map extracted features into quality scores by applying support vector regression (SVR). The experiments demonstrate the effectiveness and superiority of our proposed metric compared with state-of-the-art PIQA methods on the public panoramic image datasets.作者: 全神貫注于 時間: 2025-3-23 15:20
Image Aesthetics Assessment Based on Visual Perception and Textual Semantic Understandinglti-modal combination features that contain multiple characteristics. Finally, the obtained multi-modal are combined for aesthetic assessment prediction. Experimental results on public image aesthetics assessment databases demonstrate the superiority of our model.作者: 死亡率 時間: 2025-3-23 19:42
A No-Reference Stereoscopic Image Quality Assessment Based on?Cartoon Texture Decomposition and?Humanto the network for extracting relevant feature mappings. Finally, all sub-networks are used for quality scoring predictions, resulting in the final perceptual quality score. Experiments conducted on the LIVE dataset have demonstrated the superiority of this approach.作者: figure 時間: 2025-3-23 22:47 作者: FLAT 時間: 2025-3-24 03:16 作者: Feckless 時間: 2025-3-24 09:02 作者: 桶去微染 時間: 2025-3-24 13:56
AUIQE: Attention-Based Underwater Image Quality Evaluator (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作者: membrane 時間: 2025-3-24 16:49 作者: 糾纏 時間: 2025-3-24 22:56
An Omnidirectional Videos Quality Assessment Method Using Salient Object Informationppression 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 作者: Outshine 時間: 2025-3-25 01:30 作者: Uncultured 時間: 2025-3-25 06:59 作者: 拘留 時間: 2025-3-25 08:32
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,作者: panorama 時間: 2025-3-25 14:44
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作者: Evolve 時間: 2025-3-25 16:55
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作者: expeditious 時間: 2025-3-25 21:55
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作者: photopsia 時間: 2025-3-26 00:56 作者: 原告 時間: 2025-3-26 05:36
(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作者: 解凍 時間: 2025-3-26 12:18
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.作者: Admonish 時間: 2025-3-26 14:50
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 作者: Robust 時間: 2025-3-26 19:42 作者: Throttle 時間: 2025-3-26 21:26 作者: nugatory 時間: 2025-3-27 04:43
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,作者: 啜泣 時間: 2025-3-27 08:13
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作者: 精密 時間: 2025-3-27 11:34
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作者: characteristic 時間: 2025-3-27 14:09
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作者: 知識 時間: 2025-3-27 18:03
,Best Case: Dr. Oetker ?sterreich,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作者: 使迷醉 時間: 2025-3-28 01:35
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作者: contrast-medium 時間: 2025-3-28 02:32 作者: forager 時間: 2025-3-28 09:36
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作者: COM 時間: 2025-3-28 13:58
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作者: Tartar 時間: 2025-3-28 18:38 作者: exceed 時間: 2025-3-28 20:14 作者: forecast 時間: 2025-3-28 23:09 作者: prolate 時間: 2025-3-29 06:14
ULIC: Ultra Lightweight Image Coder on?Wearable Devices is still computationally-expensive and power-exhaustive, which is hardly affordable by most low-power and general-purpose Micro Controller Units (MCUs). This paper thus proposes the ULIC - a pixel-based, ultra-lightweight lossy image coder to fulfill the purpose. The proposed ULIC is extended subst作者: Jingoism 時間: 2025-3-29 09:54 作者: vocation 時間: 2025-3-29 12:10
Resolution-Agnostic Neural Compression for?High-Fidelity Portrait Video Conferencing via?Implicit Ranferencing applications. Most pioneering methods rely on classic video compression codec without high-level feature embedding and thus can not reach the extremely low bandwidth. Recent works instead employ model-based neural compression to acquire ultra-low bitrates using sparse representations of e作者: cravat 時間: 2025-3-29 17:01
Fast QTMT Decision for?H.266/VVC via?Jointly Leveraging Neural Network and?Machine Learning Modelsy technologies in H.266/VVC is the QuadTree with nested Multi-type Tree (QTMT), which enhances the coding performance at the cost of increased time complexity. To accelerate the QTMT partitioning process while mitigating performance degradation, this paper models the Coding Unit (CU) partition as a 作者: 草率女 時間: 2025-3-29 22:50
End-to-End Image Compression Through Machine Semanticss paper, we propose a novel end-to-end machine semantic information compression method. To better align machine semantics with tasks, we jointly optimize the entire process of semantic extraction, compression, and inference. Additionally, we introduce a dedicated activation function called StairReLU作者: 我正派 時間: 2025-3-30 02:40 作者: LEERY 時間: 2025-3-30 06:58
Human-Centered Financial Signal Processing: A Case Study on?Stock Chart Analysisock price chart plus stock volume chart. We first construct the stock chart with professional stock traders’ visual attention (SPSTV) dataset, which contains 150 stock charts images associated with eye-movement data from 10 professional stock traders. Based on the SPSTV dataset, the transfer learnin作者: Commission 時間: 2025-3-30 11:28
Unsupervised Event-to-Image Reconstruction Based on?Domain Adaptationn. Existing event-to-image reconstruction (E2IR) methods mostly adopt supervised learning approaches. However, it’s hard to collect ground-truth images for real events. To tackle this challenge, we present a novel unsupervised E2IR method based on domain adaption (DA) in this paper. First, we design作者: forebear 時間: 2025-3-30 13:09
Adjusting Exploitation and?Exploration Rates of?Differential Evolution: A Novel Mutation Strategyw, a large number of variants of DE mutation strategy have been proposed and extensively studied. However, these mutation strategies rarely concentrate on adjusting the exploitation and exploration rates, which can make a great impact on DE’s performance. In this paper, a novel mutation strategy cap作者: Heretical 時間: 2025-3-30 18:15 作者: Charade 時間: 2025-3-31 00:21
unique distortions differently to natural images. The current research of image quality assessment (IQA) for infrared images has been largely overlooked so far. To fill this void, we describe a novel benchmark infrared imaging quality evaluation database, dubbed I2QED. The database includes 50 refe作者: GRUEL 時間: 2025-3-31 03:52 作者: 錯誤 時間: 2025-3-31 06:41
ription 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作者: Neolithic 時間: 2025-3-31 11:14 作者: REIGN 時間: 2025-3-31 15:56
cs. To enable an accurate and efficient assessment of stereoscopic image quality, this study introduces a no-reference stereoscopic image quality assessment model, aiming to address the limitations of existing assessment methods. Considering that natural images typically contain information like tex
