Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 3 Issue 3, May 2012

Introduction to the Special Section on Intelligent Multimedia Systems and Technology Part II
Xian-Sheng Hua, Qi Tian, Alberto Del Bimbo, Ramesh Jain
Article No.: 39
DOI: 10.1145/2168752.2168753

Machine Recognition of Music Emotion: A Review
Yi-Hsuan Yang, Homer H. Chen
Article No.: 40
DOI: 10.1145/2168752.2168754

The proliferation of MP3 players and the exploding amount of digital music content call for novel ways of music organization and retrieval to meet the ever-increasing demand for easy and effective information access. As almost every music piece is...

Robust Video Content Analysis via Transductive Learning
Ralph Ewerth, Markus Mühling, Bernd Freisleben
Article No.: 41
DOI: 10.1145/2168752.2168755

Reliable video content analysis is an essential prerequisite for effective video search. An important current research question is how to develop robust video content analysis methods that produce satisfactory results for a large variety of video...

Video Human Motion Recognition Using a Knowledge-Based Hybrid Method Based on a Hidden Markov Model
Myunghoon Suk, Ashok Ramadass, Yohan Jin, B. Prabhakaran
Article No.: 42
DOI: 10.1145/2168752.2168756

Human motion recognition in video data has several interesting applications in fields such as gaming, senior/assisted-living environments, and surveillance. In these scenarios, we may have to consider adding new motion classes (i.e., new types of...

Robust Visual Tracking Using an Effective Appearance Model Based on Sparse Coding
Shengping Zhang, Hongxun Yao, Xin Sun, Shaohui Liu
Article No.: 43
DOI: 10.1145/2168752.2168757

Intelligent video surveillance is currently one of the most active research topics in computer vision, especially when facing the explosion of video data captured by a large number of surveillance cameras. As a key step of an intelligent...

Context-Aware Semi-Local Feature Detector
Rongrong Ji, Hongxun Yao, Qi Tian, Pengfei Xu, Xiaoshuai Sun, Xianming Liu
Article No.: 44
DOI: 10.1145/2168752.2168758

How can interest point detectors benefit from contextual cues? In this articles, we introduce a context-aware semi-local detector (CASL) framework to give a systematic answer with three contributions: (1) We integrate the context of interest...

Distinguishing Facial Features for Ethnicity-Based 3D Face Recognition
Stefano Berretti, Alberto Del Bimbo, Pietro Pala
Article No.: 45
DOI: 10.1145/2168752.2168759

Among different approaches for 3D face recognition, solutions based on local facial characteristics are very promising, mainly because they can manage facial expression variations by assigning different weights to different parts of the face....

A Generic Approach for Systematic Analysis of Sports Videos
Ning Zhang, Ling-Yu Duan, Lingfang Li, Qingming Huang, Jun Du, Wen Gao, Ling Guan
Article No.: 46
DOI: 10.1145/2168752.2168760

Various innovative and original works have been applied and proposed in the field of sports video analysis. However, individual works have focused on sophisticated methodologies with particular sport types and there has been a lack of scalable and...

Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
Clement H. C. Leung, Alice W. S. Chan, Alfredo Milani, Jiming Liu, Yuanxi Li
Article No.: 47
DOI: 10.1145/2168752.2168761

Effective sharing of diverse social media is often inhibited by limitations in their search and discovery mechanisms, which are particularly restrictive for media that do not lend themselves to automatic processing or indexing. Here, we present...

Introduction to the Special Section on Artificial Intelligence in Space
Steve Chien, Amedeo Cesta
Article No.: 48
DOI: 10.1145/2168752.2168762

Dynamic Landmarking for Surface Feature Identification and Change Detection
Kiri L. Wagstaff, Julian Panetta, Adnan Ansar, Ronald Greeley, Mary Pendleton Hoffer, Melissa Bunte, Norbert Schörghofer
Article No.: 49
DOI: 10.1145/2168752.2168763

Given the large volume of images being sent back from remote spacecraft, there is a need for automated analysis techniques that can quickly identify interesting features in those images. Feature identification in individual images and automated...

AEGIS Automated Science Targeting for the MER Opportunity Rover
Tara A. Estlin, Benjamin J. Bornstein, Daniel M. Gaines, Robert C. Anderson, David R. Thompson, Michael Burl, Rebecca Castaño, Michele Judd
Article No.: 50
DOI: 10.1145/2168752.2168764

The Autonomous Exploration for Gathering Increased Science (AEGIS) system enables automated data collection by planetary rovers. AEGIS software was uploaded to the Mars Exploration Rover (MER) mission’s Opportunity rover in December 2009 and...

Using Clustering and Metric Learning to Improve Science Return of Remote Sensed Imagery
David S. Hayden, Steve Chien, David R. Thompson, Rebecca Castaño
Article No.: 51
DOI: 10.1145/2168752.2168765

Current and proposed remote space missions, such as the proposed aerial exploration of Titan by an aerobot, often can collect more data than can be communicated back to Earth. Autonomous selective downlink algorithms can choose informative subsets...

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems
Steven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua Zhou
Article No.: 52
DOI: 10.1145/2168752.2168766

Multiview Metric Learning with Global Consistency and Local Smoothness
Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao
Article No.: 53
DOI: 10.1145/2168752.2168767

In many real-world applications, the same object may have different observations (or descriptions) from multiview observation spaces, which are highly related but sometimes look different from each other. Conventional metric-learning methods...

Transfer Metric Learning with Semi-Supervised Extension
Yu Zhang, Dit-Yan Yeung
Article No.: 54
DOI: 10.1145/2168752.2168768

Distance metric learning plays a very crucial role in many data mining algorithms because the performance of an algorithm relies heavily on choosing a good metric. However, the labeled data available in many applications is scarce, and hence the...

Metric Learning for Estimating Psychological Similarities
Jun-Ming Xu, Xiaojin Zhu, Timothy T. Rogers
Article No.: 55
DOI: 10.1145/2168752.2168769

An important problem in cognitive psychology is to quantify the perceived similarities between stimuli. Previous work attempted to address this problem with multidimensional scaling (MDS) and its variants. However, there are several shortcomings...

Mining Travel Patterns from Geotagged Photos
Yan-Tao Zheng, Zheng-Jun Zha, Tat-Seng Chua
Article No.: 56
DOI: 10.1145/2168752.2168770

Recently, the phenomenal advent of photo-sharing services, such as Flickr and Panoramio, have led to volumous community-contributed photos with text tags, timestamps, and geographic references on the Internet. The photos, together with their time-...

Factorization Machines with libFM
Steffen Rendle
Article No.: 57
DOI: 10.1145/2168752.2168771

Factorization approaches provide high accuracy in several important prediction problems, for example, recommender systems. However, applying factorization approaches to a new prediction problem is a nontrivial task and requires a lot of expert...