5,865 research outputs found
Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents
Document Image Analysis, like any Digital Image Analysis requires
identification and extraction of proper features, which are generally extracted
from uncompressed images, though in reality images are made available in
compressed form for the reasons such as transmission and storage efficiency.
However, this implies that the compressed image should be decompressed, which
indents additional computing resources. This limitation induces the motivation
to research in extracting features directly from the compressed image. In this
research, we propose to extract essential features such as projection profile,
run-histogram and entropy for text document analysis directly from run-length
compressed text-documents. The experimentation illustrates that features are
extracted directly from the compressed image without going through the stage of
decompression, because of which the computing time is reduced. The feature
values so extracted are exactly identical to those extracted from uncompressed
images.Comment: Published by IEEE in Proceedings of ACPR-2013. arXiv admin note: text
overlap with arXiv:1403.778
An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings
Human laugh is able to convey various kinds of meanings in human
communications. There exists various kinds of human laugh signal, for example:
vocalized laugh and non vocalized laugh. Following the theories of psychology,
among all the vocalized laugh type, rhythmic staccato-vocalization
significantly evokes the positive responses in the interactions. In this paper
we attempt to exploit this observation to detect human laugh occurrences, i.e.,
the laughter, in multiparty conversations from the AMI meeting corpus. First,
we separate the high energy frames from speech, leaving out the low energy
frames through power spectral density estimation. We borrow the algorithm of
rhythm detection from the area of music analysis to use that on the high energy
frames. Finally, we detect rhythmic laugh frames, analyzing the candidate
rhythmic frames using statistics. This novel approach for detection of
`positive' rhythmic human laughter performs better than the standard laughter
classification baseline.Comment: 5 pages, 1 figure, conference pape
Smart Loads for Voltage Control in Distribution Networks
This paper shows that the smart loads (SLs) could be effective in mitigating voltage problems caused by photovoltaic (PV) generation and electric vehicle (EV) charging in low-voltage (LV) distribution networks. Limitations of the previously reported SL configuration with only series reactive compensator (SLQ) (one converter) is highlighted in this paper. To overcome these limitations, an additional shunt converter is used in back-to-back (B2B) configuration to support the active power exchanged by the series converter, which increases the flexibility of the SL without requiring any energy storage. Simulation results on a typical U.K. LV distribution network are presented to compare the effectiveness of an SL with B2B converters (SLBCs) against an SLQ in tackling under- and over-voltage problems caused by EV or PV. It is shown that SLBCs can regulate the main voltage more effectively than SLQs especially under overvoltage condition. Although two converters are required for each SLBC, it is shown that the apparent power capacity of each converter is required to be significantly less than that of an equivalent SLQ
A probabilistic approach to model-based adaptive control for damping of interarea oscillations
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