OBJECTIVE YouTube is now the second most visited site on the internet. The authors aimed to compare characteristics of and messages conveyed by cigarette- and hookah-related videos on YouTube. METHODS Systematic search procedures yielded 66 cigarette-related and 61 hookah-related videos. After three trained qualitative researchers used an iterative approach to develop and refine definitions f...

The 8 challenging music videos tested in our experiments are publicly available on YouTube. In Table 1, we list the links of all music videos. The sequences T-ARA, WESTLIFE, and PUSSYCAT DOLLS are live music concert recordings and acquired from multiple cameras with different views. The other sequences BRUNO MARS, APINK, HELLO BUBBLE, DARLING, and GIRLS ALOUD are MTV videos taken in different s...

Social media are not limited to text but also multimedia. Dailymotion, YouTube, and MySpace are examples of successful sites which allow users to share videos and interact among themselves. Due to the huge amount of videos, categorizing videos with similar contents can help users to search videos more efficiently. Unlike the traditional approach to group videos into some predefined categories, ...

In this paper, we propose a method to parse human motion in unconstrained Internet videos without labeling any videos for training. We use the training samples from a public image pose dataset to avoid the tediousness of labeling video streams. There are two main problems confronted. First, the distribution of images and videos are different. Second, no temporal information is available in the ...

In this paper we present a system for classifying videos by frequency spectra. Many videos contain activities with repeating movements. Sports videos, home improvement videos, or videos showing mechanical motion are some example areas. Motion of these areas usually repeats with a certain main frequency and several side frequencies. Transforming repeating motion to its frequency domain via FFT r...

Video Retrieval is an important technology that helps to design video search engines and allow users to browse and retrieve videos of interest from huge databases. Though, there are many existing techniques to search and retrieve videos based on spatial and temporal features but are unable to perform well resulting in high ranking of irrelevant videos leading to poor user satisfaction. In this ...

As a multitude of studies has already revealed, illustrations can be profitably used to convey knowledge. While the importance of videos continues to increase on the internet, we notice major changes in usage patterns. In addition to the pure perception of pictographic material, interactivity especially in e-learning is considered to become more and more important. Although professional tools f...

This paper investigates how the object tracking performance is affected by the fusion quality of videos from visible (VIZ) and infrared (IR) surveillance cameras, as compared to tracking in single modality videos. The videos have been fused using the simple averaging, and various multiresolution techniques.Tracking has been accomplished by means of a particle filter using colour and edge cues. ...

Patients and caregivers are increasingly using online video sharing services, such as YouTube, to document experiences with a health condition. Despite the richness of shared information and social commentaries in such videos, there have been few systematic studies focused on the health content of such media. Finding related videos on YouTube can be challenging for researchers because of inadeq...

The use of new technologies in order to step up the interaction between humans and machines is the main proof that faces are important in videos. Therefore we suggest a novel Face Video Database for development, testing and verification of algorithms related to facebased applications and to facial recognition applications. In addition of facial expression videos, the database includes body vide...