Video Classification
Improving Video Classification Accuracy using Cloud
... YouTube8M Video Understanding Challenge’, which gives us a wonderful opportunity to test new ideas and implement them with the Google cloud ...&YouTube-8M Video Understanding Challenge’ on ...develop ...
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A Survey on Video Classification Methods Based on Deep Learning
... Nowadays video classification method based on deep learning is still a hotspot in video understanding ...in video. To solve the classification of new categories, the researchers empoly ...
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Video Classification with Recurrent Neural Network
... find video of interest. It becomes difficult to classify video with users demand due to limited research in video classification ...access video of ...poor video quality number ...
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Motion Superpixels for Temporal Video Classification
... We have demonstrated local motion superpixel evolution over time using three principal local features, namely HOF, centers of mass, and HOG. By tracking the centers of mass of motion superpixels over time, feature ...
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A Survey on: Content Based Video Classification
... of video data makes it impossible for the human to classify it manually into different classes so the user gets appropriate ...of video data, Content-based video classification comes into the ...
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Generalized Many-Way Few-Shot Video Classification
... In Table 3, on the Kinetics dataset, we observe a large performance gap between base and novel classes in both 1-shot and 5-shot cases, i.e., 3DFSV only achieves 7.5% on novel classes vs 88.7% on base classes. The reason ...
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Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
... There are many works have been trying to design effec- tive deep architecture for video classification. For exam- ple, Karpathy et al. (Karpathy et al. 2014) showed the first large-scale experiment on ...
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Efficient and Effective Solutions for Video Classification
... Based on the results of the previous experiments, we can now give several recommendations when accuracy or computational efficiency is preferred. For calculating Optical Flow, Section 2.4.5 showed that the Matlab im- ...
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Content Identification using Video Fingerprint based on Video Classification
... for video content identification and video classification is ...Thus video streams are easily available in various ...the video not in the name of the video is ...of video ...
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Dynamic probabilistic linear discriminant analysis for video classification
... for video classification and is able to jointly model the label information ...individual video. Experiments on video classi- fication tasks such as face and facial expression recognition show ...
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Motion Pattern Based Video Classification and Retrieval
... same video database as Section 3. There are about 10000 shots in this video database, which are segmented from about 10 hours’ real-world ...is classification-based shot retrieval, in which the ...
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Review: Highlight Extraction and Classification of Sports Video
... cricket video classification: Highlight ...individual video clips (7000 training and 7000 test ...and video clip representation transcribe the video; and finally feed into the training ...
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Audio Video based Classification using SVM and AANN
... Automatic video retrieval requires video ...automatic video classification features like text, visual and large variety of combinations of features have been ...explored. Video database ...
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Audio video based Segmentation and Classification using SVM and AANN
... and classification system is evaluated using the TV broadcasting programs audio-video collections from various channels, comprising different durations of audio-video ranging from five seconds to one ...
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Video Object Tracking, Classification and Segmentation in Complex Wavelet Domain
... Two methods for segmentation of moving objects using Daubechies complex wavelet transform are proposed. First one is based on single change detection method, and then second method based on double change detection method ...
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Acoustics Recognition and Video Sound-Track Classification using CNN
... Having a very large training set possible allows us to explore how training set size affects behaviour. With 70M videos and regular of 4.6 minutes per video, we have around 20 billion 960 ms training examples. ...
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Cloud-based scalable object detection and classification in video streams
... image/ video, are generating large amounts of data. This video data is often so large that manually inspect- ing it for useful content can be time consuming and error prone – thereby requiring automated ...
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A Review: Video Event Classification Based on Image Search Engine
... annotation. Video has innumerable content in it like visual options, foreground options, background options, objects audio feature and lots of a lot of, from that videos extracting helpful content for matching ...
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Enhanced Video Retrieval and Classification of Video Database Using Multiple Frames Based on Texture Information
... based video retrieval, the idea of content based video retrieval has been the attention for researchers since long ...based video retrieval, they tried to retrieve videos using an ...However, ...
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Detection and Classification of Human Action Events from Captured Video Streams
... captured video streams is more difficult and challenging task in the field of image ...input video stream is subtracted, and its binary images are constructed, the object which needs to be monitored is ...
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