Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

For solving the data imbalance, dimensionality reduction, and optimizing the training time
research problem, this research developed a method for producing an optimized number of …

Most existing superpixel algorithms ignore the spatial structure and regularity properties,
which result in undesirable sizes and location relationships for the subsequent processing …

Key frame extraction is essential for video retrieval because it reduces the quantity of data
needed to be processed. However, current video comparison methods classify videos by …

Key frame selection serves as ac bridge between raw video data and meaningful retrieval
results. Effective key frame selection enhances the performance of content-based video …

In content-based video retrieval, the phases of video frame selection and 3-dimensional
feature extraction are especially crucial. These stages should be optimized based on …

We investigate the importance of human centered visual cues for predicting the popularity of
a public lecture. We construct a large database of more than 1800 TED talk videos and …

Approximate nearest neighbor search has attracted much attention recently, which allows for
fast query with a predictable sacrifice in search quality. Among the related works, k-means …

For the goal of video retrieval, this research proposes wavelet transformations on deep
spatiotemporal characteristics. The component-wise similarities between the query video …

This work deals with the challenging task of activity recognition in unconstrained videos.
Standard methods are based on video encoding of low-level features using Fisher Vectors …