In the presence of a vast amount of digital video data, the protection of intellectual property of the creator is of utmost importance. Video copy detection, which is used to find copyright infringements, is also useful in video information retrieval. We propose a novel technique for video copy detection using an image classification framework and sparse coding. The underlying image classificat...

A technique for detection of building images in real-world video sequences is presented. The proposed technique uses information extracted from video features to improve precision in classification results. It combines fuzzy rule-based classification with a method for changing region detection in outdoor environments, which is invariant to extreme illumination changes and severe weather conditi...

Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. In this paper, we report our research on using the associated audio information for video scene classification. We describe several audio features that have been found effective in distinguishing audio characteristics of different scene classe...

A technique for detection of building images in real-world video sequences is presented. The proposed technique uses information extracted from video features to improve precision in classification results. It combines fuzzy rule-based classification with a method for changing region detection in outdoor environments, which is invariant to extreme illumination changes and severe weather conditi...

We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically detected using a detection algorithm. Next, we perform simultaneous tracking and recognition using an appearance-model based particle filter. The tracking result is evaluated at each frame. Low confidence ...