[PDF] Top 20 Activity Recognition Using Video Captioning and Summarization

... a video is searched using the tags and description given to it ...a video has been summarized and adequately captioned, the newly gained information can be used to search and look through important ... See full document

... improve video captioning by incor- porating temporally and logically directed knowl- edge via video prediction and entailment genera- tion ...image captioning and document ... See full document

... Several more such examples are in the supp. 7 Conclusion We first presented a mixed-loss policy gradi- ent approach for video captioning, allowing for metric-based optimization. We next presented an ... See full document

... 8.2.2 Performance on MSRVTT Caption evaluation scores for our models on the MSR-VTT dataset are reported in Table 8 and Table 9. Each model is trained end-to-end and we compare our approach with recent results. A single ... See full document

... ABSTRACT VIDEO INDEXING AND SUMMARIZATION USING MOTION ACTIVITY Kadir Askin Peker by In this dissertation, video-indexing techniques using low-level motion activity ... See full document

... cricket video using techniques of optical character ...character recognition techniques are used to extract information for events like sixes, fours, and ...short video summary is ... See full document

... for activity recognition for video surveillance using Block Intensity Vector (BIV) as features, Experiments are conducted on four different actions ...the video sequence using ... See full document

... For researchers interested in developing new methods or in deep modifications of current ones, deep learning looks like the way to go, although the computations costs could be forbidding. Some researchers could have the ... See full document

... gesture recognition to video ...defined using a scale space of smoothed and resized images and applying difference of Gaussian functions on these images to find the maximum and minimum ... See full document

... COPE Video summarization using Motion Detection System can be used in surveillance and security systems in a fixed restriction ...efficient video compression, for smart tracking of moving ... See full document

... Abstract: Video surveillance has become a major tool in Security and has become sophisticated and ...object recognition have enabled us to integrate with the existing technology of ...of video ... See full document

... Human Activity; Computer Vision; Video Surveillance HOG; Distance Measures; Benchmark ...Human activity analysis has been one of the most important topics and becoming one of the most active research ... See full document

... Vienna, VA, USA [email protected] Abstract We describe a system to rapidly generate high-quality closed captions and subtitles for live broadcasted TV shows, using automated components, namely Automatic Speech ... See full document

... in video data creation and its storage are improved a ...current activity of data creation and its storage is sequential, so it consumes more storage ...space. Video Storage space increases only due ... See full document

... the video sequence are divided into spatio-temporal blocks of a certain ...by using a generic optical flow estimation method, for example the well known block matching algorithm, which is used extensively ... See full document

... Fig 5. TRECVid VTT task comparing participant performance and human annotation using STS inter-system similarities annotation, in that order. This is visible from the graph in Figure 5 where the “bulge” for each ... See full document

... Abstract Video captioning is an essential technology to understand scenes and describe events in natural ...Low-latency captioning is needed to realize such func- tionality, but this research area ... See full document

... other video event models, some physical object variables are already instantiated through the template which has triggered its ...the recognition process. If the video event is a primitive one, after ... See full document

... 3 The Proposed Approach In this section, we describe our approach for com- bining multiple forms of attention for video cap- tioning. Figure 3 illustrates the architecture of our model. The core of our model is a ... See full document

... First, one model is selected to obtain multiple possible outputs of the current input, and then the probabilities of the current output are calculated by other models. Then the probabilities of these outputs are weighted ... See full document