Class-based n-gram models of natural language
Computational Linguistics
Automatic construction of personalized TV news programs
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Heuristic Solutions for the Multiple-Choice Multi-dimension Knapsack Problem
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Rate conversion of MPEG coded video by re-quantization process
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
Robust Real-Time Face Detection
International Journal of Computer Vision
Motion Panoramas: Research Articles
Computer Animation and Virtual Worlds
Parallel Algorithms for Motion Panorama Construction
ICPPW '06 Proceedings of the 2006 International Conference Workshops on Parallel Processing
Time interval maximum entropy based event indexing in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Content-based video indexing of TV broadcast news using hidden Markov models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
A novel error measure for the evaluation of video indexing systems
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Unsupervised learning of sigmoid perceptron
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
Joint scene classification and segmentation based on hidden Markov model
IEEE Transactions on Multimedia
Dynamic rate shaping of compressed digital video
IEEE Transactions on Multimedia
A New Heuristic for Solving the Multichoice Multidimensional Knapsack Problem
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Architectures for MPEG compressed bitstream scaling
IEEE Transactions on Circuits and Systems for Video Technology
Efficient motion-estimation algorithm for reduced frame-rate video transcoder
IEEE Transactions on Circuits and Systems for Video Technology
Video personalization in resource-constrained multimedia environments
Proceedings of the 15th international conference on Multimedia
Proceedings of the 3rd Multimedia Systems Conference
Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation
Multimedia Tools and Applications
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The design and implementation of a client-centered multimedia content adaptation system suitable for a mobile environment comprising of resource-constrained handheld devices or clients is described. The primary contributions of this work are: (1) the overall architecture of the client-centered content adaptation system, (2) a data-driven multi-level Hidden Markov model (HMM)-based approach to perform both video segmentation and video indexing in a single pass, and (3) the formulation and implementation of a Multiple-choice Multidimensional Knapsack Problem (MMKP)-based video personalization strategy. In order to segment and index video data, a video stream is modeled at both the semantic unit level and video program level. These models are learned entirely from training data and no domain-dependent knowledge about the structure of video programs is used. This makes the system capable of handling various kinds of videos without having to manually redefine the program model. The proposed MMKP-based personalization strategy is shown to include more relevant video content in response to the client's request than the existing 0/1 knapsack problem and fractional knapsack problem-based strategies, and is capable of satisfying multiple client-side constraints simultaneously. Experimental results on CNN news videos and Major League Soccer (MLS) videos are presented and analyzed.