Sentence examples for video descriptor from inspiring English sources
The VS-LBP is a novel video descriptor that constitutes one of the most important contributions of the paper, which is able to provide much richer spatio-temporal information than other existing approaches in the state of the art with a manageable computational cost.
Finally, the recognition stage segments a spatio-temporal volume of data using the obtained trajectories, and compute a video descriptor called Volumetric Spatiograms of Local Binary Patterns (VS-LBP), which is delivered to a bank of SVM classifiers to perform the gesture recognition.
TF-IDF (term frequency-inverse document frequency) weighted numbers of occurrence of each iconic view (ic in mathcal {C}) are then accumulated into a histogram, which is our proposed video descriptor H v)=[h(0),h(1),…,h(m)]. Strictly speaking, occurrence means a valid geometric registration exists between an iconic image ic and a given keyframe kf.
"Anybody can rap with this game as long as you can read the words on the card and you can think," Spatch said in a video descriptor for the game.
As requirements increase for I/O, such as networking, storage, and video, descriptor-based direct memory access (DMA) transactions have become more important in high-performance systems to move data between I/O adapters and system memory buffers.
Investigators were asked to score each video using every descriptor in table 1 and to assign an overall assessment of severity using an electronic 0 100 VAS.
We describe a visual recognition system operating on a hand-held device, based on a video-based feature descriptor, and characterize its invariance and discriminative properties.
In the following section, we describe how weak poses are estimated from video frame feature descriptors using GPR. Figure 4 Visualizing the nine principal variations of the pose within UaSpace learnt from HumanEva data.
An image Segment, for example, can be associated to its corresponding instances of the DominantColor and NumberOfFaces descriptors, a video Segment can be associated to its MotionActivity descriptor and an audio Segment to its MelodyContour. Figure 2 shows a simplified version of the data model that evolved from an early version [26, 27].
Video clips illustrating each descriptor and anchor points on the Likert scale were provided and data (descriptors on four- or five-point Likert scales, with overall assessment of severity by VAS) were collected electronically using a programmed PalmPilot.
Generally, these unsupervised algorithms extract spatiotemporal feature descriptors called video words and then use document-topic models such as pLSA [8], LDA [9], or HDP [10] to discover latent topics [1, 5, 7].
