Traditional Bangladeshi Sports Video Classification Using Deep Learning Method
نویسندگان
چکیده
منابع مشابه
Sports video classification using HMMS
In this paper we address the problem of sports video classification Using Hidden Markov Models (HMMs). For each sports genre, we construct two HMMs representing motion and color features respectively. The observation sequences generated from the principal motion direction and the principal color of each frame are fed to a motion and a color HMM respectively. The outputs are integrated to make a...
متن کاملDeep Learning for Video Classification and Captioning
Accelerated by the tremendous increase in Internet bandwidth and storage space, video data has been generated, published and spread explosively, becoming an indispensable part of today's big data. In this paper, we focus on reviewing two lines of research aiming to stimulate the comprehension of videos with deep learning: video classification and video captioning. While video classification con...
متن کاملAn Online Learning Framework for Sports Video View Classification
Sports videos have special characteristics such as well-defined video structure, specialized sports syntax, and some canonical view types. In this paper, we proposed an online learning framework for sports video structure analysis, using baseball as an example. This framework, in which only a very small number of pre-labeled training samples are required at initial stage, employs an optimal loc...
متن کاملSequential Deep Learning for Disaster-Related Video Classification
Videos serve to convey complex semantic information and ease the understanding of new knowledge. However, when mixed semantic meanings from different modalities (i.e., image, video, text) are involved, it is more difficult for a computer model to detect and classify the concepts (such as flood, storm, and animals). This paper presents a multimodal deep learning framework to improve video concep...
متن کاملSports video categorizing method using camera motion parameters
In this paper, we propose a content based video categorizing method focusing broadcasted sports videos using camera motion parameters. We define two new features in the proposed method; "Camera motion extraction ratio" and "Camera motion transition". Camera motion parameters in the video sequence contain very significant information for categorization of broadcasted sports video, because in mos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2021
ISSN: 2076-3417
DOI: 10.3390/app11052149