Cited By
View all- Sandula PKolanu HOkade M(2021)CNN-based camera motion classification using HSI color model for compressed videosSignal, Image and Video Processing10.1007/s11760-021-01964-916:1(103-110)Online publication date: 29-Jun-2021
Compressed domain zoom motion detection and classification based on application of local ternary patterns on block motion vectors
Article No.: 40, Pages 1 - 8
Abstract
This paper presents a novel application of the local ternary patterns to the zoom motion detection problem and its further classification into zoom-in and zoom-out for compressed domain video sequences. The premise of the proposed method is based on modeling the compressed domain motion vector orientation information using local ternary patterns with a fixed neighborhood. The obtained ternary code is analyzed by forming the upper and lower patterns followed by converting these patterns into local binary patterns which is utilized for training the C-SVM classifier. Experimental testing using Exhaustive Search Motion Estimation obtained block motion vectors as well as H.264 obtained block motion vectors along with comparative analysis carried out with existing techniques shows superior performance for the proposed method.
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Index Terms
- Compressed domain zoom motion detection and classification based on application of local ternary patterns on block motion vectors
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Published In
December 2018
659 pages
ISBN:9781450366151
DOI:10.1145/3293353
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Published: 03 May 2020
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- SERB, Government of India
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ICVGIP 2018
ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing
December 18 - 22, 2018
Hyderabad, India
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Overall Acceptance Rate 95 of 286 submissions, 33%
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Cited By
View all- Sandula PKolanu HOkade M(2021)CNN-based camera motion classification using HSI color model for compressed videosSignal, Image and Video Processing10.1007/s11760-021-01964-916:1(103-110)Online publication date: 29-Jun-2021
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