Material accompanying the paper "Frame-by-frame annotation of video recordings using deep neural networks". Contains a selection of videos used in the paper, manual annotations, and results. Code is contained in the associated GitHub repository. See the readme for details
The work deals with machine learning and application in the field of video summarization. The thesis...
In recent years, there has been a rapid development in web users and sufficient bandwidth. Internet ...
This dataset is related to the paper entity "Deep Learning-Based Multimodal Emotion Classification f...
This paper deals with classifying objects using deep neural networks. Whole scene segmentation was u...
The video classification task has gained significant success in the recent years. Specifically, the ...
abstract: Video analysis and understanding have obtained more and more attention in recent years. Th...
Video captioning refers to the process of conveying information of video clips through automatically...
Thanks to our visual system, it doesn't take any effort for us humans to tell apart a cat from an ea...
Studies show lots of advanced research on various data types such as image, speech, and text using d...
Abstract We present a deep learning framework for video classification applicable to face recogniti...
This work deals with face recognition in video using neural networks. In the beginning, there is des...
Datasets and videos corresponding to publication: AIDeveloper: deep learning image classification in...
This project aims to apply deep neural networks to classify video clips in applications used to stre...
The searchability of video content is often limited to the descriptions authors and/or annotators ca...
The film industry brings thousands of films to life every year. Not all of them are suitable for eve...
The work deals with machine learning and application in the field of video summarization. The thesis...
In recent years, there has been a rapid development in web users and sufficient bandwidth. Internet ...
This dataset is related to the paper entity "Deep Learning-Based Multimodal Emotion Classification f...
This paper deals with classifying objects using deep neural networks. Whole scene segmentation was u...
The video classification task has gained significant success in the recent years. Specifically, the ...
abstract: Video analysis and understanding have obtained more and more attention in recent years. Th...
Video captioning refers to the process of conveying information of video clips through automatically...
Thanks to our visual system, it doesn't take any effort for us humans to tell apart a cat from an ea...
Studies show lots of advanced research on various data types such as image, speech, and text using d...
Abstract We present a deep learning framework for video classification applicable to face recogniti...
This work deals with face recognition in video using neural networks. In the beginning, there is des...
Datasets and videos corresponding to publication: AIDeveloper: deep learning image classification in...
This project aims to apply deep neural networks to classify video clips in applications used to stre...
The searchability of video content is often limited to the descriptions authors and/or annotators ca...
The film industry brings thousands of films to life every year. Not all of them are suitable for eve...
The work deals with machine learning and application in the field of video summarization. The thesis...
In recent years, there has been a rapid development in web users and sufficient bandwidth. Internet ...
This dataset is related to the paper entity "Deep Learning-Based Multimodal Emotion Classification f...
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