Deep Convolutional Neural Network (DCNN)Multi class Support Vector Machine (MSVM)Retrieval of flower videosIn this paper we have proposed a flower video retrieval system using Deep learning approach for training and learning features. Network is trained in three ways; with keyframes, with segmented ...
Multimedia IoT (M-IoT) is an emerging type of Internet of things (IoT) relaying multimedia data (images, videos, audio and speech, etc.). The rapid growth
Section 3 presents the experimental results obtained using surveillance images and videos. Finally, Section 4 presents the conclusions of this study. 2. Proposed System for Person Retrieval and Summarization Figure 1 presents the framework of the proposed deep learning–based person retrieval system. A...
Many VS methods have been suggested based on deep learning methods. Nevertheless, These are inefficient in processing, extracting, and deriving information in the minimum amount of time from long-duration videos. Detailed analysis and investigation of numerous deep learning approach accomplished to ...
Automatic classification of videos is a basic task of content archiving and video scene understanding for broadcasters. And the time series modeling is the key to video classification. To solve this ...
吴恩达《通过AWS掌握RLHF|Mastering RLHF with AWS: A Hands-on Workshop》中英字幕 01:01:01 吴恩达《知识图谱用于RAG|Knowledge Graphs for RAG》中英字幕 吴恩达《手把手构建经过指令调整的LLMs|Building with Instruction-Tuned LLMs- A Step-by-Step Guide》 59:35 吴恩达deeplearning.ai直播课程《构建生...
With the development of internet and multimedia technology,there are more and more multimedia data on the Internet, detecting and removing duplicate content in database has become an important task. Based on this situation,this article designed a fast and effective video near-duplicate retrieval syste...
《Video retrieval based on deep convolutional neural network》论文中采用CNN提取高级语义特征,输入的三个视频共享一个cnn参数,经过cnn得到三个视频各自的特征([batch,16,Nd]),根据我的理解,FC1的上一层是各视频特征的压缩,由[batch,16,Nd]压缩到了[batch,16*N... 查看原文 论文阅读 Show, Tell and ...
Deep learning has revolutionized the analysis and interpretation of satellite and aerial imagery, addressing unique challenges such as vast image sizes and a wide array of object classes. This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and ...
Video analytics using deep learning for crowd analysis: a review Article Open access 29 March 2022 Analysis of anomaly detection in surveillance video: recent trends and future vision Article 27 September 2022 Crowd dynamics analysis and behavior recognition in surveillance videos based on deep ...