Nature inspired dimensional reduction technique for fast and invariant visual feature extraction

R Bandara, L Ranathunga, NA Abdullah - arXiv preprint arXiv:1907.01102, 2019 - arxiv.org
Fast and invariant feature extraction is crucial in certain computer vision applications where
the computation time is constrained in both training and testing phases of the classifier. In …

Deep learned compact binary descriptor with a lightweight network-in-network architecture for visual description

R Bandara, L Ranathunga, NA Abdullah - The Visual Computer, 2021 - Springer
Binary descriptors have been widely used for real-time image retrieval and correspondence
matching. However, most of the learned descriptors are obtained using a large deep neural …

Conventional video shot segmentation to semantic shot segmentation

L Ranathunga, R Zainuddin… - 2011 6th International …, 2011 - ieeexplore.ieee.org
Video shot segmentation is a preliminary process used in video content analysis which
requires for content description. Conventional shot segmentation techniques nourished with …

A comparative study of hybrid feature selection methods using correlation coefficient for microarray data

C Arunkumar, S Ramakrishnan - Journal of Network and Innovative …, 2016 - cspub-jnic.org
Feature selection is a key challenge before the process of classification could be performed.
The classification accuracy would increase by using a good feature selection method and …

Visual feature clustering using temporal, color and spatial information

A Bandara, L Ranathunga… - … and Networks IV, 2014 - api.taylorfrancis.com
Salient Dither Pattern Feature (SDPF) is one of the visual features, which is highly efficient in
feature extraction. The incorporated descriptor of SDPF is a lower dimensional spatial …

A feature clustering approach based on Histogram of Oriented Optical Flow and superpixels

A Bandara, L Ranathunga… - 2015 IEEE 10th …, 2015 - ieeexplore.ieee.org
Visual feature clustering is one of the cost-effective approaches to segment objects in
videos. However, the assumptions made for developing the existing algorithms prevent them …

User's Visual Intention Driven Retrieval Model For Semantic Video Search And Retrieval

L Ranathunga, NA Abdullah… - Malaysian Journal of …, 2012 - jati.um.edu.my
There are various models of retrieval mechanisms for effective video retrieval,
however,'semantic gap'still persists. This study aims to reduce the gap by providing a …

Spatio concept relation accompanied interface to bridge semantic gap of video search and retrieval

L Ranathunga, NA Abdullah… - 2012 World Congress …, 2012 - ieeexplore.ieee.org
Video search and retrieval becoming hot topic in multimedia information retrieval. However,
thesemantic gap'still persists and urges effective mechanisms to bridge the gap. This paper …

[引用][C] Efficient depiction of video for semantic retrieval applications by dimensionality reduction of visual feature space