We prove that every dynamical system $X$ with a free action of countable amenable group $G$ by homeomorphisms has zero-dimensional extension $Y$ which is faithful and principal, i.e. $G$-invariant measure $\mu $ on exactly one preimage

In order to identify videos on the Internet, a robust video hashing based on key frames and Isometric Feature Mapping (ISOMAP) is proposed in this paper. In this method, key frames extraction and hash generation are two major components. During the video hashing, key frame extraction is achieved by a uniform distribution vector and video tomography analysis, while hash generation is accomplishe...

We study frames for robust transmission over the Internet. In our previous work, we used quantized finite-dimensional frames to achieve resilience to packet losses; here, we allow the input to be a sequence in 2( ) and focus on a filter-bank implementation of the system. We present results in parallel, or versus 2( ), and show that uniform tight frames, as well as newly introduced strongly unif...

We present a comparative analysis of localization of 4D gravity on a non Z 2 – symmetric scalar thick brane in both a 5–dimensional Riemannian space time and a pure geometric Weyl integrable manifold in which variations in the length of vectors during parallel transport are allowed and a geometric scalar field is involved in its formulation. This work was mainly motivated by the hypothesis whic...

This paper reports the effect of corpus size on case frame acquisition for discourse analysis in Japanese. For this study, we collected a Japanese corpus consisting of up to 100 billion words, and constructed case frames from corpora of six different sizes. Then, we applied these case frames to syntactic and case structure analysis, and zero anaphora resolution. We obtained better results by us...

In speaker diarization, the speech/voice activity detection is performed to separate speech, non-speech and silent frames. Zero crossing rate and root mean square value of frames of audio clips has been used to select training data for silent, speech and non-speech models. The trained models are used by two classifiers, Gaussian mixture model (GMM) and Artificial neural network (ANN), to classi...

This paper presents and analyzes a new approach to data hiding that embeds in both the intraand interframes from the H.264/AVC video codec. Most of the current video data hiding algorithms take into account only the intraframes for message embedding. This may be attributed to the perception that inter-frames are highly compressed due to the motion compensation, and any embedding message inside ...