Sentence examples for retrieval video from inspiring English sources

Motion estimation plays a key role in many video applications, such as frame-rate video conversion, video retrieval, video surveillance, and video compression.

Video event description is an important research topic in video analysis with a vast amount of applications, such as visual surveillance, video retrieval, video annotation, video database indexing, and interactive system.

3D information retrieval from video is necessary to get some meaningful information from video.

Bruno et al. introduce the notion of the multimodal dissimilarity spaces for facilitating the retrieval of video documents [20].

MSERs have successfully been used in applications such as the automatic 3D-reconstruction from a set of images, object and scene retrieval in videos and object recognition [11, 13, 14].

In this paper, we propose a generic text-based semi-automatic system for off-line semantic indexing and retrieval of news videos, since video texts such as speech transcripts stand as a plausible source of semantic information.

Application of LSA: information filtering, document index, video retrieval, text classification and clustering, image retrieval, information extraction, and so on.

In that work, the authors address the development of a unified approach to content-based indexing and retrieval of digital videos from television archives and estimate visual signatures to represent key frames of video recordings.

By equipping it with the necessary components, the ultimate system is also turned into a multilingual video retrieval system and executed on a video data set in English, thereby facilitating multilingual semantic video retrieval.

Application scenarios include content-based video retrieval, intelligent video surveillance, and human-computer interaction.

Table 6 Speed for geometry-aware video retrieval tasks.