This paper presents an automatic video genre classification system, which utilizes several
low level audio-visual features as well as cognitive and structural information, and in case of …

This paper presents an automatic video genre classification system, which utilizes several
low-level audio-visual cues as well as cognitive and structural information to classify the …

Brain cancer has remained one of the key causes of deaths in people of all ages. One way
to survival amongst patients is to correctly diagnose cancer in its early stages. Recently …

We present an algorithm for risk prediction of road surface grip where skidding and sliding
occur as main road surface problems. Prediction is done by defining a fine texture …

In this paper, we present a system for person re-identification in TV series. In the context of
video retrieval, person re-identification refers to the task where a user clicks on a person in a …

Automatic concept learning from large scale imbalanced data sets is a key issue in video
semantic analysis and retrieval, which means the number of negative examples is far more …

In this paper, we present a system for person re-identification in TV series. In the context of
video retrieval, person re-identification refers to the task where a user clicks on a person in a …

The influence of the feature vector (FV) content on the CBIR (content-based image retrieval)
system efficiency was considered. By using two different FVs and applying three different …

This paper presents a new algorithm for detection of abrupt shot changes in video sequence
based on Multifractal Analysis (MA). Video sequence is decoded into series of frames, and …

The first and foremost step in the shot boundary detection is the extraction of features from
the video sequences. To obtain better performance in shot boundary detection, a new …