Information Mining from Multimedia Databases

Information Mining from Multimedia Databases

Authors: Ling Guan, Horace HS Ip, Paul H Lewis, Hau San Wong and Paisarn Muneesawang

A Content-Adaptive Analysis and Representation Framework for Audio Event Discovery from "Unscripted" Multimedia

We propose a content-adaptive analysis and representation framework to discover events using audio features from "unscripted" multimedia such as sports and surveillance for summarization. The proposed analysis...

Authors: Regunathan Radhakrishnan, Ajay Divakaran, Ziyou Xiong and Isao Otsuka

Discovering Recurrent Image Semantics from Class Discrimination

Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc.) in content-based indexing systems. The drawback of this approach is the n...

Authors: Joo-Hwee Lim and Jesse S. Jin

Face Tracking in the Compressed Domain

A compressed domain generic object tracking algorithm offers, in combination with a face detection algorithm, a low-compu-tational-cost solution to the problem of detecting and locating faces in frames of comp...

Authors: Pedro Miguel Fonseca and Jan Nesvadba

Semantic Identification: Balancing between Complexity and Validity

An efficient scheme for identifying semantic entities within data sets such as multimedia documents, scenes, signals, and so forth, is proposed in this work. Expression of semantic entities in terms of syntact...

Authors: M. Falelakis, C. Diou and A. Delopoulos

An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation

Video content analysis is essential for efficient and intelligent utilizations of vast multimedia databases over the Internet. In video sequences, object-based extraction techniques are important for content-b...

Authors: Xiao-Ping Zhang and Zhenhe Chen

Synobins: An Intermediate Level towards Annotation and Semantic Retrieval

To reason about the meaning of an image, useful information should be provided with that image; however, images often contain little to no textual information about the objects they are depicting, which is the...

Authors: Daniela Stan Raicu and Ishwar K. Sethi

Semantic Context Detection Using Audio Event Fusion

Semantic-level content analysis is a crucial issue in achieving efficient content retrieval and management. We propose a hierarchical approach that models audio events over a time series in order to accomplish...

Authors: Wei-Ta Chu, Wen-Huang Cheng and Ja-Ling Wu

Multimodal Semantic Analysis and Annotation for Basketball Video

This paper presents a new multiple-modality method for extracting semantic information from basketball video. The visual, motion, and audio information are extracted from video to first generate some low-level...

Authors: Song Liu, Min Xu, Haoran Yi, Liang-Tien Chia and Deepu Rajan

Manifold-Ranking-Based Keyword Propagation for Image Retrieval

A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, ou...

Authors: Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang and Changshui Zhang

BeTrIS—An Index System for MPEG-7 Streams

The ISO/IEC Motion Picture Group (MPEG) issued in 2002 a standard, called MPEG-7, which enables the content description of multimedia data in XML. The standard supports applications to exchange, identify, and ...

Authors: Andrea Kofler-Vogt, Harald Kosch, Joerg Heuer and André Kaup

MPEG-2 Compressed-Domain Algorithms for Video Analysis

This paper presents new algorithms for extracting metadata from video sequences in the MPEG-2 compressed domain. Three algorithms for efficient low-level metadata extraction in preprocessing stages are describ...

Authors: Wolfgang Hesseler and Stefan Eickeler