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Cheok, Lai-Tee
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Given Name
Lai-Tee
Lai-Tee
Surname
Cheok
UNE Researcher ID
une-id:lcheok
Email
lcheok@une.edu.au
Preferred Given Name
Lai-Tee
School/Department
School of Science and Technology
4 results
Now showing 1 - 4 of 4
- PublicationSymshop: A mobile shopping mall applicationThe Frustrated Shopper Typical Experiences in a large shopping mall - Searching for the mall directory - Looking for merchandise - Looking for a sales assistant - Waiting for the cashier to check out items - Searching for promotional, discount items - Locating shopping partner who has wandered off separately, locating restrooms, etc - No idea what accessories match items - No time to shop leisurely!
- PublicationOperations Research Approach Towards Layered Multi-Source Video DeliveryWe address the problem of rate scaling of multiple layered video streams in applications such as a multi-camera video surveillance system. This differs from the single video streaming scenario in that relevant information from all sources has to be aggregated and a collective decision made. We propose a scenario to achieve better granularity in quality adaptation by considering inter-source and inter-layer streaming jointly, using Operation Research techniques to arrive at an optimal or nearoptimal solution. We formulate our Multi-Source MultiLayer Selection (SLS) problem in the form of a MultipleChoice Knapsack Problem (MCKP). We analyze optimal and approximate algorithms to determine their suitability for solving the problem. We present a simple modification based on an existing greedy aglorithm by exploiting some properties of layered video. The modified SLS algorithm is extended to incorporate weights (Weighted SLS - WSLS - algorithm). Via experimental results using MPEG-4 FGS, we show that WSLS improves the performance for specialized applications. We also discuss the various network configurations of a multi-source video distribution system.
- PublicationImplementing multiplexing, streaming, and server interaction for MPEG-4(Institute of Electrical and Electronics Engineers (IEEE), 1999)
;Kalva, Hari ;Tang, Li ;Huard, Jean-Francois ;Tselikis, George ;Zamora, Javier; Eleftheriadis, AlexandrosWe describe the implementation of a streaming client-server system for object-based audio-visual presentations in general and MPEG-4 content in particular. The system augments the MPEG-4 demonstration software implementation(IM1) for PC's by adding network-based operation with full support for the Delivery Multimedia Integration Framework (DMIF) specification, a streaming PC-based server with DMIF support (via Xbind Inc's XDMIF suite), and multiplexing software. We describe XDMIF, the first reference implementation of the DMIF specification. The MPEG-4 server is designed for delivering object-based audio-visual presentation. We discuss the issues in the design and implementation of MPEG-4 servers. The system also implements a novel architecture for client-server interaction in object-based audio-visual presentations, using the mechanism of command routes and command descriptors. This new concept of command routes and command descriptors is useful in developing sophisticated interactive applications. - PublicationA Genetic Algorithm for Layered Multi-Source Video DistributionWe propose a genetic algorithm -- MckpGen -- for rate scaling and adaptive streaming of layered video streams from multiple sources in a bandwidth-constrained environment. A genetic algorithm (GA) consists of several components: a representation scheme; a generator for creating an initial population; a crossover operator for producing offspring solutions from parents; a mutation operator to promote genetic diversity and a repair operator to ensure feasibility of solutions produced. We formulated the problem as a Multiple-Choice Knapsack Problem (MCKP), a variant of Knapsack Problem (KP) and a decision problem in combinatorial optimization. MCKP has many successful applications in fault tolerance, capital budgeting, resource allocation for conserving energy on mobile devices, etc. Genetic algorithms have been used to solve NP-complete problems effectively, such as the KP, however, to the best of our knowledge, there is no GA for MCKP. We utilize a binary chromosome representation scheme for MCKP and design and implement the components, utilizing problem-specific knowledge for solving MCKP. In addition, for the repair operator, we propose two schemes (RepairSimple and RepairBRP ). Results show that RepairBRP yields significantly better performance. We further show that the average fitness of the entire population converges towards the best fitness (optimal) value and compare the performance at various bit-rates.