Intelligent computational techniques for multimodal data

This guest editorial introduces the special issue on “Intelligent Computational Techniques for Multimodal Data”. The goal of this special issue was to solve a variety of real-life problems which have uncertainty, imprecision, vagueness, resulting in high performance applications or prototypes for real time system. The special issue touched different hot topics related to Computer Vision, Computational Biology, Multimedia data mining, High-dimensional multimedia data, Deep convolution network, Deep semantic preserving hashing, High-dimensional multimedia classification, Deep CNN and extended residual units, particle swarm optimization, Cyberbullying detection on social multimedia, Multimedia detection algorithm of malicious nodes, Multimedia based fast face recognition, Diversifying personalized mobile multimedia application, Multimedia image edge extraction algorithm, Rumour veracity detection.

[1]  Mohan S. Kankanhalli,et al.  Multimedia data mining: state of the art and challenges , 2010, Multimedia Tools and Applications.

[2]  Rohit Biswas,et al.  An effective analysis of deep learning based approaches for audio based feature extraction and its visualization , 2018, Multimedia Tools and Applications.

[3]  S. Pushpa,et al.  Diversifying personalized mobile multimedia application recommendations through the Latent Dirichlet Allocation and clustering optimization , 2019, Multim. Tools Appl..

[4]  Akshi Kumar,et al.  Sentiment analysis of multimodal twitter data , 2019, Multimedia Tools and Applications.

[5]  Jie Yang,et al.  Deep convolution network for surveillance records super-resolution , 2018, Multimedia Tools and Applications.

[6]  Hui Fang,et al.  Multimedia based fast face recognition algorithm of speed up robust features , 2019, Multimedia Tools and Applications.

[7]  Fancong Zeng,et al.  Multimedia document image retrieval based on regional correlation fusion texture feature FDPC , 2019, Multimedia Tools and Applications.

[8]  Millie Pant,et al.  Modified particle swarm optimization for multimodal functions and its application , 2018, Multimedia Tools and Applications.

[9]  Akshi Kumar,et al.  Cyberbullying detection on social multimedia using soft computing techniques: a meta-analysis , 2019, Multimedia Tools and Applications.

[10]  Arun Kumar Sangaiah,et al.  Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis , 2018, Multimedia Tools and Applications.

[11]  Akshi Kumar,et al.  Rumour veracity detection on twitter using particle swarm optimized shallow classifiers , 2019, Multimedia Tools and Applications.

[12]  Pourya Shamsolmoali,et al.  High-dimensional multimedia classification using deep CNN and extended residual units , 2018, Multimedia Tools and Applications.

[13]  Yue Wu,et al.  Multimedia detection algorithm of malicious nodes in intelligent grid based on fuzzy logic , 2019, Multimedia Tools and Applications.

[14]  Jingkuan Song,et al.  Learning in high-dimensional multimedia data: the state of the art , 2015, Multimedia Systems.

[15]  Limin Luo,et al.  Discriminant maximum margin projections for face recognition , 2018, Multimedia Tools and Applications.

[16]  Xiaoming Wang,et al.  A multimedia image edge extraction algorithm based on flexible representation of quantum , 2019, Multimedia Tools and Applications.

[17]  Changyin Sun,et al.  Exploiting aggregate channel features for urine sediment detection , 2018, Multimedia Tools and Applications.

[18]  Neha Jain,et al.  Deep semantic preserving hashing for large scale image retrieval , 2018, Multimedia Tools and Applications.