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Optimized Audio Classification and Segmentation Algorithm ...
https://www.hindawi.com/journals/mpe/2015/209814/#:~:text=Noise%20in%20an%20audio%20stream%20is%20segmented%20out,vector%20machines%20%28SVMs%29%20with%20artificial%20neural%20networks%20%28ANNs%29.
Audio-Video based Classification using SVM and AANN
https://research.ijcaonline.org/volume44/number6/pxc3878425.pdf
audio-video based classification. The method SVM and AANN classifies the audio-video clips with an accuracy of 95.54%., and 92.94%. General Terms Audio Segmentation, Video Segmentation, Audio 3.1 Classification, Video Classification, Weighted Sum Rule. Keywords Mel frequency cepstral coefficients, color histogram, Auto
Audio-Video based Classification using SVM and AANN - NASA/ADS
https://ui.adsabs.harvard.edu/abs/2012IJCA...44f..33S/abstract
adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A
Audio-video Based Segmentation and Classification …
https://research.ijcaonline.org/volume53/number18/pxc3882271.pdf
Combining audio and video segmentation and classification tion and annotation algorithm is obtained. Then, in[26] a survey on visual content based video indexing and retrieval shows huge information on video. In [31] a high-accurancy audio classifica-tion algorithm is proposed based on SVM-UBM using MFCCs as classification features.
Audio-Video Based Segmentation and Classification using …
https://ijcat.com/archives/volume1/issue2/ijcatr01021003.pdf
machine (SVM) for audio scene classification, which classifies audio clips into one of five classes: pure speech, non pure speech, music, environment sound, and silence. Automatic video retrieval requires video classification. In [7], surveys of …
Audio-video based Segmentation and Classification using ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.9507
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper, we propose a method for combining audio and video for segmentation and classification. The objective of segmentation is to detect the category change point such news to advertisement. The classification system classify the audio-video data into one of the predefined categories …
Audio_Video Based Segmentation and Classification Using SVM
http://www.medwelljournals.com/abstract/?doi=ajit.2012.30.35
Abstract: This study presents a method to classify audio-video data into one of seven classes: advertisement, cartoon, news, movie and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data.
Content-Based Audio Classification and Retrieval …
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/content_audio_classification.pdf
Content-Based Audio Classification and Retrieval Using SVM Learning Stan Z. Li GuoDong Guo Microsoft Research China, 5/F Beijing Sigma Center, Beijing 100080, China [email protected] Abstract In this paper, a support vector machines (SVMs) based method is proposed for content-based audio classification and retrieval.
Classification of audio signals using SVM and RBFNN ...
https://www.sciencedirect.com/science/article/pii/S0957417408004004
The paper is organized as follows. The acoustic feature extraction is presented in Section 2, modeling techniques for audio classification is described in Section 3. Experimental results using SVM and RBF are reported in Section 4. Finally, conclusions and future work are given in Section 5. 2.
News Video Classification Using SVM-based Multimodal ...
http://oak.cs.ucla.edu/~mjwelch/multimedia/papers/acmm02_lin.pdf
approach widely used in previous video classification studies [5][9][10], we propose building text-based classifiers and image-based classifiers using a Support Vector Machine because it is less vulnerable to degrade due to high dimensionality, and has been shown effective in many classification tasks. 2. MULTIMODAL CLASSIFIERS
Design and Implementation of an Audio Classification ...
https://www.sciencedirect.com/science/article/pii/S1877705811022570
Li S Z, Guo Guodong. content-based audio classification and retrieval using SVM learning. Proceedings of the 1 st IEEE Pacific-Rim Conference on Multimedia. Sydney, Australia. 2000, p.1507-1510. [4] Chih-Chieh Cheng,Chiou-Ting Hsu. Content-Based Audio Classification with Generalized Ellipsoid Distance.Proc,PCM. Hsinchu, Taiwan. 2002, p.328-335. [5]
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