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Information Mining from Multimedia Databases

  1. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:089013
  2. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:079412
  3. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:076093
  4. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:063124
  5. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:059451
  6. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:056940
  7. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:045217
  8. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:041716
  9. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:032135
  10. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:027390
  11. 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
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:015482