In order to solve the problem that the speech signal with noise in the communication, the paper proposes a method to reduce the noise of speech signal based on MATLAB & FDAtool. FDAtool is a GUI interface, which h...
详细信息
ISBN:
(数字)9798350360240
ISBN:
(纸本)9798350384161
In order to solve the problem that the speech signal with noise in the communication, the paper proposes a method to reduce the noise of speech signal based on MATLAB & FDAtool. FDAtool is a GUI interface, which has the characteristics of graphic visualization, intuitive and effective to analysis of the system frequency spectrum. By analysis the time and frequency domain characteristics of speech and the noise signal, it makes use of the FDAtool and window functions to design the FIR filter to process the speech signal. The design results show that the combination of window function and FDAtool can effective perform signal processing and reduce the noise.
The advent of biometric technology has enhanced security in various ways, especially by lowering the propensity for circumvention which was obtainable in traditional recognition measures such as the use of passwords, ...
详细信息
Recently, image-text matching has attracted more and more attention from academia and industry, which is fundamental to understanding the latent correspondence across visual and textual modalities. However, most exist...
详细信息
ISBN:
(纸本)9781713899921
Recently, image-text matching has attracted more and more attention from academia and industry, which is fundamental to understanding the latent correspondence across visual and textual modalities. However, most existing methods implicitly assume the training pairs are well-aligned while ignoring the ubiquitous annotation noise, a.k.a noisy correspondence (NC), thereby inevitably leading to a performance drop. Although some methods attempt to address such noise, they still face two challenging problems: excessive memorizing/overfitting and unreliable correction for NC, especially under high noise. To address the two problems, we propose a generalized Cross-modal Robust Complementary Learning framework (CRCL), which benefits from a novel Active Complementary Loss (ACL) and an efficient Self-refining Correspondence Correction (SCC) to improve the robustness of existing methods. Specifically, ACL exploits active and complementary learning losses to reduce the risk of providing erroneous supervision, leading to theoretically and experimentally demonstrated robustness against NC. SCC utilizes multiple self-refining processes with momentum correction to enlarge the receptive field for correcting correspondences, thereby alleviating error accumulation and achieving accurate and stable corrections. We carry out extensive experiments on three image-text benchmarks, i.e., Flickr30K, MS-COCO, and CC152K, to verify the superior robustness of our CRCL against synthetic and real-world noisy correspondences. Code is available at https://***/QinYang79/CRCL.
image-to-image translation has become an increasingly popular technology across multiple areas such as and computer vision, computer graphics, and imageprocessing. The technology learns the features of existing pictu...
详细信息
Despite the growing need for effective image tagging in both commercial and research domains, the inconsistency between image content and text annotations remains a significant issue. We propose an innovative approach...
详细信息
image classification is an essential technology that is widely used in all aspects of human life. This work combined multiple image feature sources using deep learning algorithms to identify photos from the publicly a...
详细信息
Preclinical research, clinical diagnosis, and treatment can all benefit from the information that a medical image can offer. Due to the increased usage of digital medical imaging, numerous researchers are actively cre...
详细信息
In the new media environment, the research of video content analysis and recommendation system is particularly important. This paper discusses how to use imageprocessing technology to deeply analyze and accurately re...
详细信息
ISBN:
(数字)9798331536169
ISBN:
(纸本)9798331536176
In the new media environment, the research of video content analysis and recommendation system is particularly important. This paper discusses how to use imageprocessing technology to deeply analyze and accurately recommend film and television content. With the diversification of presentation forms and communication channels of film and television content, the problems of information overload and uneven content quality have become increasingly prominent. This study aims to solve these problems and improve the user experience by constructing a video content analysis and recommendation system based on imageprocessing technology. The system includes four core modules: data acquisition, imageprocessing, content analysis and recommendation algorithm. By integrating imageprocessing, machine learning and recommendation algorithm, the whole process from data acquisition to personalized recommendation is implemented efficiently. The experimental results demonstrate that the hybrid recommendation strategy outperforms single algorithms in various evaluation metrics, including accuracy, recall, F1 score, and Mean Reciprocal Rank (MRR), significantly enhancing the precision of recommendations and user satisfaction. This study not only provides a scientific basis and decision support for content creation, distribution, and marketing in the film and television industry but also lays a solid foundation for building more intelligent film and television content recommendation systems.
Aiming at the assembly of workpieces with multiple plane structures, this paper proposes a 3D visual positioning and robot assembly method. First, several planes are extracted by plane detection and outlier removal al...
详细信息
We propose the development of an Adaptive Vehicle Control (AVC) system using readily available components such as a Raspberry Pi microcontroller, a motor, a motor driver, and a Raspberry Pi camera. This system aims to...
详细信息
暂无评论