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检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"

共 25558 条记录，以下是421-430 订阅

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WAVELET-GUIDED ACCELERATION OF TEXT INVERSION IN DIFFUSION-BASED image EDITING 49

WAVELET-GUIDED ACCELERATION OF TEXT INVERSION IN DIFFUSION-B...

引用

49th ieee International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Koo, Gwanhyeong Yoon, Sunjae Yoo, Chang D. Korea Adv Inst Sci & Technol KAIST Daejeon South Korea

ISBN: (纸本)9798350344868;9798350344851

In the field of image editing, Null-text Inversion (NTI) enables fine-grained editing while preserving the structure of the original image by optimizing null embeddings during the DDIM sampling process. However, the NTI process is time-consuming, taking more than two minutes per image. To address this, we introduce an innovative method that maintains the principles of the NTI while accelerating the image editing process. We propose the WaveOpt-Estimator, which determines the text optimization endpoint based on frequency characteristics. Utilizing wavelet transform analysis to identify the image's frequency characteristics, we can limit text optimization to specific timesteps during the DDIM sampling process. By adopting the Negative-Prompt Inversion (NPI) concept, a target prompt representing the original image serves as the initial text value for optimization. This approach maintains performance comparable to NTI while reducing the average editing time by over 80% compared to the NTI method. Our method presents a promising approach for efficient, high-quality image editing based on diffusion models.

关键词： image editing Null-Text Inversion text optimization diffusion model

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A Comprehensive Review of image Encryption Algorithms: Techniques and Applications 5

A Comprehensive Review of Image Encryption Algorithms: Techn...

引用

5th International conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Sheeba Joice, C. Hitha Shanthini, S. Harsha, K. Gopika, S. Saveetha Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (数字)9798350389609

ISBN: (纸本)9798350389609

The necessity of secure image transmission and storage has become more urgent in the digital era. In a variety of applications, including medical imaging, military communications, and personal data protection, image encryption is essential for safeguarding sensitive visual data from unauthorized access and assuring privacy. This article offers a thorough examination of the current image encryption algorithms, with an emphasis on their strengths, weaknesses, and methodologies. Classical methods, such as symmetric and asymmetric encryption, as well as more sophisticated techniques, such as chaos-based, quantum-based, and hybrid encryption methods, are investigated. The objective of this review is to offer researchers and practitioners a valuable resource for comprehending the current state of image encryption and directing the development of more efficient and robust encryption solutions. © 2024 ieee.

关键词： Military communication visualization Reviews image processing image communication Data protection Data transfer Encryption image storage Biomedical imaging

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Adaptive linear model for intra block copy with local illumination compensation

Adaptive linear model for intra block copy with local illumi...

引用

2023 ieee International conference on visual communications and image processing, VCIP 2023

作者： Wang, Yang Zhang, Kai Zhang, Li Multimedia Lab Bytedance Inc. China

ISBN: (纸本)9798350359855

Intra block copy with local illumination compensation (IBC-LIC) is a coding technique utilized in video coding to compensate for illumination variation between the current block and its prediction block within the picture. In IBC-LIC, the illumination variation is modeled as a linear equation, the parameters of which are estimated from the templates of the current block and the reference block. This technique considerably improves compression performance for screen content coding. However, a single linear model derived from the templates may not always be accurate, particularly if the correlation between the current block and the template is not high. Thus, an adaptive linear model for intra block copy with local illumination compensation (ALM-IBC-LIC) is proposed in this paper. Specifically, a base linear model is derived in the same way as IBC-LIC. After that a slope adjustment parameter is utilized to modify the parameters of the base linear model, in which the slope adjustment parameter is adaptively determined at the encoder and signaled in the bitstream. Finally, the modified linear model is utilized to refine the reference block to obtain the prediction of the current block. Experimental results demonstrate that ALM-IBC-LIC can achieve 0.42% and 0.16% (up to 0.89%) BD-rate savings on average for class F and class TGM without increasing encoding and decoding complexity when compared to ECM-8.0 under all intra configuration. © 2023 ieee.

关键词： Video signal processing

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CONSISTENT AND MULTI-SCALE SCENE GRAPH TRANSFORMER FOR SEMANTIC-GUIDED image OUTPAINTING 30

CONSISTENT AND MULTI-SCALE SCENE GRAPH TRANSFORMER FOR SEMAN...

引用

30th ieee International conference on image processing (ICIP)

作者： Yang, Chiao-An Wu, Meng-Lin Yeh, Raymond A. Wang, Yu-Chiang Frank Purdue Univ W Lafayette IN 47907 USA Qualcomm Technol Inc San Diego CA USA Natl Taiwan Univ Taipei Taiwan

ISBN: (纸本)9781728198354

The task of image outpainting extends an image beyond its boundaries with semantically plausible content. Recently, Scene Graph Transformer (SGT) introduced a transformer architecture to leverage scene graph guidance for image outpainting. Despite its success, we identified two shortcomings: (a) SGT uses a positional encoding that was originally proposed for 1D signal;(b) SGT uses a scene graph attention layer that propagates information between neighboring nodes which limited the model to learning local graph features. To address these issues, we propose incorporating Laplacian positional encoding and introducing a multiscale scene graph attention into SGT. Extensive results on MS-COCO and visual Genome show that our proposed approach generates more plausible outpainted images with higher quality.

关键词： image outpainting Scene-graph

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INCREMENTAL image LABELING VIA ITERATIVE REFINEMENT

INCREMENTAL IMAGE LABELING VIA ITERATIVE REFINEMENT

引用

ieee International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Giunchiglia, Fausto Diao, Xiaolei Bagchi, Mayukh Univ Trento DISI Trento Italy

ISBN: (纸本)9798350302615

Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existence of the semantic gap problem leads to a many-to-many mapping between the information extracted from an image and its linguistic description. This unavoidable bias further leads to poor performance on current computer vision tasks. To address this issue, we introduce a Knowledge Representation (KR)-based methodology to provide guidelines driving the labeling process, thereby indirectly introducing intended semantics in ML models. Specifically, an iterative refinement-based annotation method is proposed to optimize data labeling by organizing objects in a classification hierarchy according to their visual properties, ensuring that they are aligned with their linguistic descriptions. Preliminary results verify the effectiveness of the proposed method.

关键词： Data Quality Semantic Gap Problem image Datasets visual Properties

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CAUSAL-STORY: LOCAL CAUSAL ATTENTION UTILIZING PARAMETER-EFFICIENT TUNING FOR visual STORY SYNTHESIS 49

CAUSAL-STORY: LOCAL CAUSAL ATTENTION UTILIZING PARAMETER-EFF...

引用

49th ieee International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Song, Tianyi Cao, Jiuxin Wang, Kun Liu, Bo Zhang, Xiaofeng Southeast Univ Sch Cyber Sci & Engn Nanjing Peoples R China Southeast Univ Sch Comp Sci & Engn Nanjing Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China Sanjiang Univ Sch Comp Sci & Engn Nanjing Peoples R China

ISBN: (纸本)9798350344868;9798350344851

The excellent text-to-image synthesis capability of diffusion models has driven progress in synthesizing coherent visual stories. The current state-of-the-art method combines the features of historical captions, historical frames, and the current captions as conditions for generating the current frame. However, this method treats each historical frame and caption as the same contribution. It connects them in order with equal weights, ignoring that not all historical conditions are associated with the generation of the current frame. To address this issue, we propose Causal-Story. This model incorporates a local causal attention mechanism that considers the causal relationship between previous captions, frames, and current captions. By assigning weights based on this relationship, Causal-Story generates the current frame, thereby improving the global consistency of story generation. We evaluated our model on the PororoSV and FlintstonesSV datasets and obtained state-of-the-art FID scores, and the generated frames also demonstrate better storytelling in visuals.

关键词： Training image synthesis Diffusion model Story visualization Multi-modalities

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High-Fidelity Free-View Talking Head Synthesis for Low-Bandwidth Video conference

High-Fidelity Free-View Talking Head Synthesis for Low-Bandw...

引用

2023 ieee International conference on visual communications and image processing, VCIP 2023

作者： Zhang, Zhiyu Tang, Anni Zhu, Chen Lu, Guo Xie, Rong Song, Li Shanghai Jiao Tong University Institute of Image Communication and Network Engineering Shanghai China

ISBN: (纸本)9798350359855

As video conferencing becomes an indispensable part of human's daliy life, how to achieve a high-fidelity calling experience under low bandwidth has been a popular and challenging issue. Deep generative models have great potential in low-bandwidth facial video compression due to the excellent generation capability based on abridged information. Nevertheless, exsiting deep generation-based compression methods tend to handle motion information in pure 2D or pseudo 3D space, causing facial distortion when large head poses are encountered. In this paper, we propose a 3D-aware high-fidelity facial video conferencing system based on a parameterized NeRF-based face model. Through the compression of the parameterized face model and the transmisstion of extracted facial parameters, we implement high-fidelity talking head synthesis for video conferencing at an ultra-low bitrate. Additionally, the 3D perception capability of the system allows for viewpoint control over the head, achieving higher interactivity and practicability. Extensive experiments verify the effectiveness of the proposed 3D-aware high-fidelity free-view facial video conferencing system. © 2023 ieee.

关键词： Video conferencing

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image processing Based Texture Transfer Between images

Image Processing Based Texture Transfer Between Images

引用

2024 International conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

作者： Jariwala, Devanshi Gajjar, Ruchi Nirma University Institute of Technology Ahmedabad India

ISBN: (纸本)9798350378092

Texture transfer is a crucial approach in image processing which enables smooth transfer of textures between images while preserving visual qualities like color fidelity and texture details. This feature is essential for digital art, computer graphics, virtual reality, and textile visualization since it improves visual realism and creative expression. Existing methods frequently use complicated machine learning and AI models, which can be computationally expensive and difficult to apply. To ensure efficient and precise texture transfer, we use fundamental image processing techniques such as color space transformations and luminance matching. Our solution achieves smooth texture integration by matching the brightness of a style card image to a target color card image and incorporating chrominance information. This paper describes our image processing based methodology, from pre-processing to final image synthesis, which provides a computationally efficient and user-friendly alternative to machine learning techniques. The experimental results suggest that the proposed approach is effective and has the potential for a wide range of applications. © 2024 ieee.

关键词： image texture

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Efficient Intra Coding through Hierarchical CU Partition Prediction for VVC

Efficient Intra Coding through Hierarchical CU Partition Pre...

引用

2023 ieee International conference on visual communications and image processing, VCIP 2023

作者： Sun, Tianyi Wang, Yanze Huang, Zhijie Sun, Jun Peking University Wangxuan Institute of Computer Science Beijing China

ISBN: (纸本)9798350359855

Versatile Video Coding (VVC) has adopted a quad-Tree with a nested multi-Type tree (QTMT) partition structure to improve the rate-distortion (RD) performance, but this greatly increases complexity due to the brute-force RDO process to search for the best partition type. Some methods cannot fully utilize partition information of deeper CUs when training, while others process large CUs as a whole and may neglect specific information inside smaller CUs. Therefore, in this paper, we propose a learning-based approach to predict the best partition modes for every CU while utilizing the partition modes of deeper CUs. Firstly, we model the searching for the optimal partition split in a hierarchical prediction way. Secondly, we predict a confidence score along with each prediction to select the accurate number of partition types. Lastly, we incorporate the prediction above into a framework with separate predictions for NS/QT/MTT split and MTT split, and modify it according to the mechanism of VTM. Experiments demonstrate that our method can reduce 47.21%∼53.97% complexity of VVC intra coding with negligible 0.81%∼1.26% BD-BR increase, superior to other state-of-The-Art methods. © 2023 ieee.

关键词： image coding

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HVS-based AR Display image Enhancement With Delta Look-Up Table Considering Ambient Light 20

HVS-based AR Display Image Enhancement With Delta Look-Up Ta...

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20th International SoC Design conference (ISOCC)

作者： Cho, Donghun Lee, Hyeseong Lee, Jeonghun You, Jaehee Hongik Univ Integrated Syst Chip Seoul South Korea

ISBN: (纸本)9798350327038

Based on human visual systems, image processing algorithms, and efficient hardware implementation methodologies are proposed to optimize the image qualities of AR displays according to the changes in ambient lights. To this end, methods are described to improve the image qualities perceived by humans. In addition, the delta look-up table is presented to minimize the number of additional circuits without significant changes in existing hardware. HOSA, an image quality assessment based on the human visual system is used to verify the image qualities for the extreme ambient light conditions.

关键词： image quality enhancement AR display Ambient light Human visual system Delta LUT

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