نتایج جستجو برای: low level feature
تعداد نتایج: 2270288 فیلتر نتایج به سال:
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have proven to perform satisfactorily for this task. Since a single feature only captures some selective characteristics of an audio signal, this information may, in some cases, not be sufficient to properly identify similariti...
Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...
the current study examined iranian undergraduate efl students’ willingness to communicate with regard to their vocabulary knowledge. in general, participants were somewhat willing to communicate in english. the total mean score of 730 university students’ perception of willing to communicate was 83.53 out of 135. results, regarding four parts of willingness to communicate, revealed that part...
In this paper, we propose a new method for measuring the similarity between two arbitrarily shaped video objects. Our method is based on comparing the low-level still features of the representative planes of video objects. We demonstrate the performance of the proposed method in a shape retrieval system in which boundaryand region-based still shape features were employed to retrieve video objec...
In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train t...
This paper describes our participation in the NIST TERCVID 2004 retrieval evaluation. In the first-year effort for the TERCVID project, we only tackle Person X detection of the high-level feature extraction task. We design an automatic Person X detector using frontal faces in videos solely. We illustrate the architecture of Person X detector and the evaluation results in this paper.
We present in this paper a study on auditory feature spaces for speech-driven face animation. The goal is to provide solid analytic ground to underscore the description capability of some well-known features with relation to lipsync. A set of various audio features describing the temporal and spectral shape of speech signal has been computed on annotated audio extracts. The dimension of the inp...
We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common development collection. Only visual information, consisting of color, texture and edge-based low-level features, was used.
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