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(PDF) Content-based audio classification and segmentation ...
https://www.researchgate.net/publication/225596386_Content-based_audio_classification_and_segmentation_by_using_support_vector_machines#:~:text=In%2C%20HMM%20is%20used%20for%20audio-based%20segmentation%20and,further%20classified%20into%20applause%2C%20explosion%20and%20bird%27s%20sound.
VIDEO SEGMENTATION WITH THE SUPPORT OF …
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/video_segmentation_classification.pdf
VIDEO SEGMENTATION WITH THE SUPPORT OF AUDIO SEGMENTATION AND CLASSIFICATION Hao Jiang, Tong Lin and Hongjiang Zhang Microsoft Research, China No.5 Zhichun Road, Haidian District Beijing 100084, China ABSTRACT Video structure extraction is essential to automatic and content-based organization, retrieval and browsing of video. However,
Video segmentation with the Support of Audio …
https://www.microsoft.com/en-us/research/publication/video-segmentation-with-the-support-of-audio-segmentation-and-classification/
Video structure extraction is essential to automatic and content-based organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have developed, it is still difficult to extract scene structures or group shots into scenes. In this paper, we present a novel audio assisted video segmentation scheme, in which …
CiteSeerX — VIDEO SEGMENTATION WITH THE …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.9648
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Video structure extraction is essential to automatic and contentbased organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have developed, it is still difficult to extract scene structures or group shots into scenes. In this paper, we present a …
Audio-Video Based Segmentation and Classification using …
https://ijcat.com/archives/volume1/issue2/ijcatr01021003.pdf
audio and video classification. 2. Outline of the work This work presents a method for audio-video segmentation and classification. The paper is organized as follows. The acoustic and visual feature extractions are presented in section 4. Modeling techniques for audio and video segmentation and classification are described in section 5.
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