Predicting saliency existence using reduced salient features based on compactness and boundary cues

QR Code

Predicting saliency existence using reduced salient features based on compactness and boundary cues

Salient object detection is a process that tries to locate the most prominent region within the visual scene. Despite of hundreds of successful developed models, most of the models still fail to produce correct detection for background only image and this is due to the models’ assumption that a s...

Full description

Bibliographic Details
Main Author:	Nadzri, Nur Zulaikhah
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Visual texture recognition Computer science Computer networks
Online Access:	http://psasir.upm.edu.my/id/eprint/98049/ http://psasir.upm.edu.my/id/eprint/98049/1/FK%202021%2029%20UPMIR.pdf

Similar Items

Bidirectional relighting for 3D-aided 2D face recognition
by: Toderici, George, et al.
Published: (2010)

Ventral extra-striate cortical areas are required for human visual texture segmentation
by: Allen, Harriet A., et al.
Published: (2009)

Improved salient object detection via boundary components affinity
by: Nadzri, Nur Zulaikhah, et al.
Published: (2019)

A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities
by: Wong, Y.W., et al.
Published: (2011)

Movement of nitrogen, phosphorus and potassium fertilizers in undisturbed soil columns as affected by soil compaction.
by: Sadegh-Zadeh, F., et al.
Published: (2008)

An industrial survey on the use of surface texture parameters
by: Todhunter, Luke D., et al.
Published: (2017)

Results of an industrial survey on the use of surface texture parameters
by: Todhunter, Luke D., et al.
Published: (2017)

Multiview face emotion recognition using geometrical and texture features
by: Goodarzi, Farhad
Published: (2017)

The development of face recognition based on lip using neural network / Halizawati Mohd Nor
by: Mohd Nor, Halizawati
Published: (2006)

Offline handwritten character recognition using backpropagation neural network / Masnizah Mohadi
by: Mohadi, Masnizah
Published: (2005)

Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani
by: Ghani, Mazuraini
Published: (2005)

Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
by: Sabtu, Melati
Published: (2005)

Salience network in psychosis
by: Palaniyappan, Lena
Published: (2013)

Investigating the effect of texture edges in figure-ground segregation using psychophysical and eye tracking experiments
by: Sidhu, Shumetha Kaur
Published: (2020)

Registration and salient features of partnerships
by: Abd Ghadas, Zuhairah Ariff
Published: (2011)

Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm
by: Bagherian, Elhaam
Published: (2011)

3-D characterization, optimization, and classification of textured surfaces
by: Stachowiak, Gwidon, et al.
Published: (2008)

Multi-Aras Rangkaian Neural untuk Pengecaman Warna
by: Yaakob, Razali
Published: (1999)

A novel information theoretic approach to wavelet feature selection for texture classification
by: Naseem, Imran, et al.
Published: (2012)

Saliency and eye movements in the perception of natural scenes
by: Foulsham, Thomas
Published: (2008)

3D face recognition using multiple features for local depth information
by: Khalid, Fatimah, et al.
Published: (2009)

Portable form filling assistant for the visually impaired
by: Peng, En, et al.
Published: (2010)

A semi-automatic methodology for facial landmark annotation
by: Sagonas, Christos, et al.
Published: (2013)

Combining residual networks with LSTMs for lipreading
by: Stafylakis, Themos, et al.
Published: (2017)

Speaker discriminability for visual speech modes
by: Kim, J., et al.
Published: (2009)

The Effects of Angularity Number on Texture Depths and Skid Resistance of Stone Mastic Asphalt
by: Musa, Mohtady Ali
Published: (2002)

Comparing computational models of vision to human behaviour
by: Colvin, Thomas
Published: (2018)

Salient features of Islamic law in Malaysia: an overview
by: Wan Muhammad, Malaysia, et al.
Published: (2019)

Age-related differences in selection by visual saliency
by: Tsvetanov, Kamen A., et al.
Published: (2013)

3D face recognition using hog features based on fine-tuning deep residual networks
by: Siming, Zheng
Published: (2020)

Multimodal Imaging of the Salience Network in Schizophrenia
by: Kumar, Jyothika
Published: (2018)

Feature-based characterisation of evolving surface topographies in finishing operations for additive manufacturing
by: Newton, Lewis, et al.
Published: (2018)

Visual word recognition in bilinguals and monolinguals: behavioural and ERP investigations of the role of word frequency, lexicality and repetition
by: Corona Dzul, B.
Published: (2017)

Visual search strategies during facial recognition in children with ASD
by: Albrecht, Matthew, et al.
Published: (2014)

Enabling hand-crafted visual markers at scale
by: Preston, William, et al.
Published: (2017)

Effective salience-based fusion model for image retrieval
by: Mansourian, Leila
Published: (2016)

Sayyid Mawdudi’s tafhim Al-Qur’an: Salient features
by: Osmani, Noor Mohammad
Published: (2017)

Impairments in the Visual Processing of Global Biological Motion Cues in Down Syndrome
by: Riddell, Hugh, et al.
Published: (2017)

Innovative ingredients and emerging technologies for controlling ice recrystallisation, texture and structure stability in frozen dairy desserts: a review
by: Soukoulis, Christos, et al.
Published: (2016)

Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
by: Mariappan, Vasan
Published: (2008)