As an important hardware component in the process of EEG recognition, the brain information perception system undertakes the functions of accurate EEG signal acquisition, amplification, conversion, transmission and re...
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Brain tumors are a significant health concern in India, with an estimated 40,000 to 50,000 new cases diagnosed annually. the country's limited healthcare resources and infrastructure exacerbate the challenge, lead...
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the emergence of short videos has led to the development of intelligent short video editing. this not only streamlines the intricate process of video editing but also empowers regular users to master editing skills. I...
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Withthe rapid advancement of intelligent driving technologies, target detection, particularly accurate identification of vehicles and pedestrians, becomes crucial. this study focuses on traffic sign detection using t...
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Handwritten Music recognition (HMR) poses the problem of transcribing historical musical pieces from digital image to text. the vast number of untranscribed pieces, together withthe scarcity of manually annotated tra...
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ISBN:
(纸本)9783031705427;9783031705434
Handwritten Music recognition (HMR) poses the problem of transcribing historical musical pieces from digital image to text. the vast number of untranscribed pieces, together withthe scarcity of manually annotated training data renders the manual transcription impractical. Historical musical pieces of particular interest are those dating back to the XVth century and earlier, available only in their original manuscripts. Current state-of-the-art approaches leverage Convolutional and Recurrent Neural Networks (CRNN) due to their effectiveness in processing information without relying on extensive datasets. this paper addresses the data scarcity challenge in HMR by proposing two approaches. Firstly, the utilization of synthetic images to augment the training data, leveraging its successful applications in Handwritten Text recognition (HTR). Secondly, the paper advocates for image composition, combining the images from a manuscript page to mitigate the contextual limitations associated with single-line processing. Despite challenges observed in traditional HTR models, the regularity found in historical musical document layouts enhances the suitability of image composition for HMR. these approaches allow us to develop a system that can take advantage of additional samples and contextual information to improve the recognition capabilities of the HMR models. Results obtained show a relative improvement when working with synthetic images and a substantial improvement when image composition is considered.
image-based insect species identification is a comprehensive application of computervision technology, imageprocessing technology and patternrecognition technology to realize insect species identification. It is of...
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the task of image caption generation aims to automatically produce natural language descriptions that match the content of images, integrating the fields of machine vision and natural language processing, which holds ...
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To solve the concern regarding low precision in detecting apple maturity, a refined apple target detection method built upon YOLOv8 is put forward. Firstly, CBAM attention mechanism is integrated into the architecture...
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Superpixel is an image preprocessing technique that combines adjacent pixels in an image to form smaller connected regions. It serves as the smallest unit for subsequent image-processing tasks. Reduced computational c...
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In recent years, the rapid advancement of automotive and computervision technologies has made self-driving cars a focal point of interest. A critical factor in the safe and efficient operation of self-driving cars is...
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