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This paper presents a real-time monitoring of television advertisements using Bow. Frames are the basis of videos, thus an adaptive approach for extracting keyframes is proposed to describe video ads. Since in the BoW framework, the information of local feature points is lost during quantization, color name (CN) feature is introduced in this paper to enhance the discriminative power of visual words...
This paper presents a method for TV commercial monitoring that utilize matching visual extracts to detect known commercials. These visual extracts, also known as visual hashes, are computed from the low-frequency part of both luminance and chroma video frame components. Our approach relies on the assumption that commercial breaks are delimited by known commercial bumpers. Video sequences containing...
Older adults suffering from Alzheimer's disease often require assistance with performing simple activities of daily living, such as washing their hands in the bathroom. This severely limits their independence and places a heavy care giving burden on their family and the healthcare system. The motivation for developing a water detection algorithm is for it to be used within a system that provides reminding...
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