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

Commission

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

forebear

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

Heretical

Charade

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

GRUEL

錯(cuò)誤

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

Neolithic

REIGN

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