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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES)
Warad, Vinay C.
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Computer Science & IT Economics, Econometrics & Finance Engineering

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Video saliency-recognition by applying custom spatio temporal fusion technique Warad, Vinay C.; Fatima, Ruksar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp82-91

Abstract

Video saliency detection is a major growing field with quite few contributions to it. The general method available today is to conduct frame wise saliency detection and this leads to several complications, including an incoherent pixel-based saliency map, making it not so useful. This paper provides a novel solution to saliency detection and mapping with its custom spatio-temporal fusion method that uses frame wise overall motion colour saliency along with pixel-based consistent spatio-temporal diffusion for its temporal uniformity. In the proposed method section, it has been discussed how the video is fragmented into groups of frames and each frame undergoes diffusion and integration in a temporary fashion for the colour saliency mapping to be computed. Then the inter group frame are used to format the pixel-based saliency fusion, after which the features, that is, fusion of pixel saliency and colour information, guide the diffusion of the spatio temporal saliency. With this, the result has been tested with 5 publicly available global saliency evaluation metrics and it comes to conclusion that the proposed algorithm performs better than several state-of-the-art saliency detection methods with increase in accuracy with a good value margin. All the results display the robustness, reliability, versatility and accuracy.
Video saliency-detection using custom spatiotemporal fusion method Warad, Vinay C.; Fatima, Ruksar
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 2: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i2.pp269-275

Abstract

There have been several researches done in the field of image saliency but not as much as in video saliency. In order to increase precision and accuracy during compression, reduce coding complexity and time consumption along with memory allocation problems with our proposed solution. It is a modified high-definition video compression (HEVC) pixel based consistent spatiotemporal diffusion with temporal uniformity. It involves taking apart the video into groups of frames, computing colour saliency, integrate temporal fusion, pixel saliency fusion is conducted and then colour information guides the diffusion process for the spatiotemporal mapping with the help of permutation matrix. The proposed solution is tested on a publicly available extensive dataset with five global saliency valuation metrics and is compared with several other state-of-the-art saliency detection methods. The results display and overall best performance amongst all other candidates.
Co-Authors Fatima, Ruksar