Video Classification by Partitioned Frequency Spectra of Repeating Movements
نویسندگان
چکیده
In this paper we present a system for classifying videos by frequency spectra. Many videos contain activities with repeating movements. Sports videos, home improvement videos, or videos showing mechanical motion are some example areas. Motion of these areas usually repeats with a certain main frequency and several side frequencies. Transforming repeating motion to its frequency domain via FFT reveals these frequencies. Average amplitudes of frequency intervals can be seen as features of cyclic motion. Hence determining these features can help to classify videos with repeating movements. In this paper we explain how to compute frequency spectra for video clips and how to use them for classifying. Our approach utilizes series of image moments as a function. This function again is transformed into its frequency domain. Keywords—action recognition, frequency feature, motion recognition, repeating movement, video classification
منابع مشابه
Analyzing Transformation of 1D-Functions for Frequency Domain based Video Classification
In this paper we illuminate a frequency domain based classification method for video scenes. Videos from certain topical areas often contain activities with repeating movements. Sports videos, home improvement videos, or videos showing mechanical motion are some example areas. Assessing main and side frequencies of each repeating movement gives rise to the motion type. We obtain the frequency d...
متن کاملVideo Classification by Main Frequencies of Repeating Movements
This paper discusses an approach, which allows classifying videos by frequencies. Many videos contain repetitive activities like walking, swimming, or playing table tennis. These activities usually repeat with a certain frequency, which can be seen as a feature of cyclic motion. So determining this feature can help to classify videos with repeating movements properly. In this paper we explain h...
متن کاملClassification of Iranian Traditional Music Dastgahs Using Features Based on Pitch Frequency
The Iranian traditional music is composed of seven majors Dastgahs: Chahargah, Homayoun, Mahour, Segah, Shour, Nava, and Rast-Panjgah. In this paper, a new algorithm for the classification of the Iranian traditional music Dastgahs based on pitch frequency is proposed. In this algorithm, the features of Lagrange coefficients of pitch logarithm (LCPL), Fuzzy similarity sets type 2 (FSST2), and th...
متن کاملImprovement of the Classification of Hyperspectral images by Applying a Novel Method for Estimating Reference Reflectance Spectra
Hyperspectral image containing high spectral information has a large number of narrow spectral bands over a continuous spectral range. This allows the identification and recognition of materials and objects based on the comparison of the spectral reflectance of each of them in different wavelengths. Hence, hyperspectral image in the generation of land cover maps can be very efficient. In the hy...
متن کاملAn Efficient Hierarchical Modulation based Orthogonal Frequency Division Multiplexing Transmission Scheme for Digital Video Broadcasting
Due to the increase of users the efficient usage of spectrum plays an important role in digital terrestrial television networks. In digital video broadcasting, local and global content are transmitted by single frequency network and multifrequency network respectively. Multifrequency network support transmission of global content and it consumes large spectrum. Similarly local content are well ...
متن کامل