An IEEE Xplore image search retrieves images based on metadata. Image data is indexed using information from figure captions and other metadata fields associated with the image including:

What code is in the image? Your support ID is: 8203162012887554609.

JPEG AI is based on a learning-based image coding algorithm that can generate a single-stream, compact compressed domain representation, targeting both human visualization, with significant compression efficiency improvement over image coding standards, and effective performance for image processing and computer vision tasks, with the goal of ...

2024年6月7日 · IEEE Xplore now has Image Search! A new feature available from IEEE Xplore that enables subscribers to easily search and browse nearly 30 million images, graphics, charts, schematics, flowcharts and more from IEEE journal articles, and conference papers.

The IEEE Transactions on Image Processing (TIP) covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications.

5 天之前 · Some of the fundamental attributes that contribute to image quality for automotive applications are addressed in this standard. Existing metrics and other information relating to these attributes are also identified, as well as a standardized suite of objective test methods for measuring automotive camera image quality. In addition, baseline test methods and relevant information about tools ...

Published in: 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)

5 天之前 · The Internet of Everything (IoE) era has witnessed to a rapid increase in interconnected devices, leading to an exponential growth of image and video data. Efficient multimedia content analysis is crucial for applications such as surveillance systems and autonomous vehicles. This study proposes a novel hybrid architecture, fusing Convolutional Neural Networks (CNNs) with Graph Convolutional ...

2025年3月19日 · In RGB-infrared aerial image object detection, fully utilizing the advantages of both RGB and infrared images for effective detection is a key challenge in this field. In response to the challenges outlined, an RGB-infrared multi-branch progressive feature fusion method for object detection in aerial images is proposed. Specifically, since accurate detection of objects in aerial images usually ...

In the field of crop image detection, traditional detection methods for the growth period of related crops rely heavily on humans, resulting in relatively low accuracy. At present, the mainstream spectral detection technology based on remote sensing images of crops has high hardware requirements for image acquisition and a complex system. In order to …