Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 2 Issue 2, February 2011

Introduction to the special issue on intelligent multimedia systems and technology
Xian-Sheng Hua, Qi Tian, Alberto Del Bimbo, Ramesh Jain
Article No.: 9
DOI: 10.1145/1899412.1899413

Active learning in multimedia annotation and retrieval: A survey
Meng Wang, Xian-Sheng Hua
Article No.: 10
DOI: 10.1145/1899412.1899414

Active learning is a machine learning technique that selects the most informative samples for labeling and uses them as training data. It has been widely explored in multimedia research community for its capability of reducing human annotation...

Variational inference with graph regularization for image annotation
Yuanlong Shao, Yuan Zhou, Deng Cai
Article No.: 11
DOI: 10.1145/1899412.1899415

Image annotation is a typical area where there are multiple types of attributes associated with each individual image. In order to achieve better performance, it is important to develop effective modeling by utilizing prior knowledge. In this...

Collection-based sparse label propagation and its application on social group suggestion from photos
Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo
Article No.: 12
DOI: 10.1145/1899412.1899416

Online social network services pose great opportunities and challenges for many research areas. In multimedia content analysis, automatic social group recommendation for images holds the promise to expand one's social network through media...

Distance metric learning from uncertain side information for automated photo tagging
Lei Wu, Steven C.H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu
Article No.: 13
DOI: 10.1145/1899412.1899417

Automated photo tagging is an important technique for many intelligent multimedia information systems, for example, smart photo management system and intelligent digital media library. To attack the challenge, several machine learning techniques...

Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images
Jinhui Tang, Richang Hong, Shuicheng Yan, Tat-Seng Chua, Guo-Jun Qi, Ramesh Jain
Article No.: 14
DOI: 10.1145/1899412.1899418

In this article, we exploit the problem of annotating a large-scale image corpus by label propagation over noisily tagged web images. To annotate the images more accurately, we propose a novel kNN-sparse graph-based semi-supervised learning...

Automatic player labeling, tracking and field registration and trajectory mapping in broadcast soccer video
Xiaofeng Tong, Jia Liu, Tao Wang, Yimin Zhang
Article No.: 15
DOI: 10.1145/1899412.1899419

In this article, we present a method to perform automatic player trajectories mapping based on player detection, unsupervised labeling, efficient multi-object tracking, and playfield registration in broadcast soccer videos. Player detector...

Neighboring joint density-based JPEG steganalysis
Qingzhong Liu, Andrew H. Sung, Mengyu Qiao
Article No.: 16
DOI: 10.1145/1899412.1899420

The threat posed by hackers, spies, terrorists, and criminals, etc. using steganography for stealthy communications and other illegal purposes is a serious concern of cyber security. Several steganographic systems that have been developed and made...

Probabilistic temporal multimedia data mining
Chidansh Bhatt, Mohan Kankanhalli
Article No.: 17
DOI: 10.1145/1899412.1899421

Existing sequence pattern mining techniques assume that the obtained events from event detectors are accurate. However, in reality, event detectors label the events from different modalities with a certain probability over a time-interval. In this...