The proceedings contain 38 papers. The special focus in this conference is on MultiMedia modeling. The topics include: LUMOS-DM: Landscape-Based Multimodal Scene Retrieval Enhanced by Diffusion Model;mining Landm...
ISBN:
(纸本)9783031533013
The proceedings contain 38 papers. The special focus in this conference is on MultiMedia modeling. The topics include: LUMOS-DM: Landscape-Based Multimodal Scene Retrieval Enhanced by Diffusion Model;mining Landmark Images for Scene Reconstruction from Weakly Annotated Video Collections;A Framework for 3D modeling of Construction Sites Using Aerial Imagery and Semantic NeRFs;multimodal 3D Object Retrieval;an Integrated system for Spatio-temporal Summarization of 360-Degrees Videos;mutant Texts: A Technique for Uncovering Unexpected Inconsistencies in Large-Scale Vision-Language Models;Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT;implementation of Melody Slot Machines;e2Evideo: End to End Video and Image Pre-processing and Analysis Tool;training-Free Region Prediction with Stable Diffusion;Augmented Reality Photo Presentation and Content-Based Image Retrieval on Mobile Devices with AR-Explorer;facilitating the Production of Well-Tailored Video Summaries for Sharing on Social Media;AI-Based Cropping of Soccer Videos for Different Social Media Representations;few-Shot Object Detection as a Service: Facilitating Training and Deployment for Domain Experts;DatAR: Supporting Neuroscience Literature Exploration by Finding Relations Between Topics in Augmented Reality;emoAda: A Multimodal Emotion Interaction and Psychological Adaptation system;waseda_Meisei_SoftBank at Video Browser Showdown 2024;Exploring Multimedia Vector Spaces with vitrivr-VR;a New Retrieval Engine for Vitrivr;VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024;mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites;praK Tool: An Interactive Search Tool Based on Video Data Services;exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search;VERGE in VBS 2024;optimizing the Interactive Video Retrieval Tool Vibro for the Video Browser Showdown 2024;diveXplore at the Vide
Hydroponic farming is a revolutionizing agricultural practice, in which nutrient-rich water solutions are used instead of traditional soil. Hydroponic farming addresses significant challenges faced by conventional agr...
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In order to solve the problems such as lack of coupling analysis means between power communication network and power grid and lack of simulation auxiliary system, an intelligent analysis system of power network risk b...
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Cleaning integrated mechanical system plays an important role in industrial production. However, the traditional cleaning methods have some problems such as low efficiency and waste of resources. In order to solve the...
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In life, various challenges and problems faced by deaf people such as communication skills and other problems, including emotional, mental, and societal development. However, technology is needed that can help the pro...
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The movement process of organisms contains a large amount of information, which leads to different structure of motion data in different applications. How to construct a data structure to contain more common informati...
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This work presents a Python application to determine the best places to conduct herding by analyzing satellite images. Grazing monitoring provides information to identify, from the available zones, which ones are more...
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ISBN:
(纸本)9783031741852;9783031741869
This work presents a Python application to determine the best places to conduct herding by analyzing satellite images. Grazing monitoring provides information to identify, from the available zones, which ones are more suitable for maintaining better livestock feeding, thereby improving the quality of products such as meat or milk. To accomplish this, a vision-based system is trained using images from previous years, with ground-truth data provided by an agricultural application, SIGPAC, where farmers determine land use. Once the model is trained, it is applied to new satellite images to identify pasture areas and subsequently determine the coordinates to decide the path for the herd. Among the available options, those exhibiting the highest NDVI levels can be selected as optimal feeding areas for the livestock. This system can be implemented on a 4-legged robot to assist the shepherd in their daily tasks by herding the flock.
In response to the problem of manual control of fire, inaccurate smoke concentration and temperature when bacon is smoked, which leads to the inconsistent quality of the finished products of bacon, an automatic contro...
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With the rapid development of information technology, computer laboratories have become important venues for academic research and teaching. However, effective management of the numerous and diverse assets in a labora...
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ISBN:
(纸本)9798350375275
With the rapid development of information technology, computer laboratories have become important venues for academic research and teaching. However, effective management of the numerous and diverse assets in a laboratory is a challenge. Traditional asset management methods, such as manual recording and barcode scanning, suffer from inefficiency and lack of accuracy. This study aims to design a computer laboratory asset management system based on Radio Frequency Identification (RFID) technology to improve the efficiency and accuracy of asset management. The system utilizes the wireless identification and data transmission capabilities of RFID technology for rapid and automated tracking and management of laboratory assets. First, the paper introduces the basic principles of RFID technology and its current application in asset management. Then, it analyzes the asset management needs of computer laboratories in detail, determining the main objectives and functions of the system. The system design focuses on the composition of the RFID system, data collection methods, and the architecture of the asset management software. Specifically, High-Frequency (HF) RFID technology is used to adapt to the dense electronic equipment environment in laboratories, and a user-friendly interface is designed for easy operation by non-technical personnel. During the implementation and testing phase, the system was deployed and tested in a university computer laboratory. The test results showed that the RFID-based system significantly improved efficiency and reduced errors in asset registration, inventory, and tracking compared to traditional methods. Additionally, the system supports asset status monitoring and alarm functions, further enhancing the capability for asset security management. This research successfully demonstrates the feasibility and effectiveness of an RFID-based computer laboratory asset management system. Through actual deployment and testing, the system has proven its
Performance prediction is a tool that may help to understand the students' behaviors and challenges for their overall academic growth. Though the whole teaching pedagogy has enormous hills and valleys and cannot b...
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