The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the development of multimedia technology and the explosive growth of video data, content-based video copy detection has attracted considerable attentions in the multimedia and the computer vision community. However, most video copy detection methods only focus on the contents of key frames and ignore their temporal context information. In this paper, we proposed to express the temporal context...
The bag-of-visual-words model has been widely utilized for content based image and video retrieval due to its scalability. In this paper, we extend this model for human action video retrieval. We adopt dense trajectory features which are able to achieve the state-of-the-art performance on action recognition, while most of the existing video retrieval methods utilize descriptors of local interest points...
Prediction-error expansion (PEE) is an efficient technique for reversible data hiding (RDH). Instead of expanding the highest histogram bins in conventional PEE, in this paper, to better utilize the image redundancy, we propose a new PEE-based RDH scheme with an advisable expansion strategy utilizing referential prediction-errors. For each pixel, we first calculate its prediction-error and use its...
Outlier detection in high-dimensional data presents various challenges resulting from the “curse of dimensionality.” A prevailing view is that distance concentration, i.e., the tendency of distances in high-dimensional data to become indiscernible, hinders the detection of outliers by making distance-based methods label all points as almost equally good outliers. In this paper, we provide evidence...
We propose an autocorrelation Cox process that extends the traditional bag-of-words representation to model the spatio-temporal context within a video sequence. Bag-of-words models are effective tools for representing a video by a histogram of visual words that describe local appearance and motion. A major limitation of this model is its inability to encode the spatio-temporal structure of visual...
Several similarity and distance measures have been developed for different purposes and applications in various research fields. For example, scholars have used them to evaluate similarities between tonalities, melodies and rhythms for music information retrieval. In this study, similarity functions are generated automatically. We focus on similarities between the so-called pitch-class sets that belong...
Previous empirical studies have shown consistent emotional responses to form and color, across a variety of contexts and especially across cultures. What varies across contexts and cultures is evaluation of the color/form/emotion response. For example, both the color red and jagged, high contrast forms consistently evoke one emotional response neutrally described as agitation or activation, a response...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.