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Conference

International Conference on Multimedia Computing and Systems 

About: International Conference on Multimedia Computing and Systems is an academic conference. The conference publishes majorly in the area(s): Quality of service & The Internet. Over the lifetime, 1784 publications have been published by the conference receiving 25794 citations.


Papers
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Proceedings ArticleDOI
17 Jun 1996
TL;DR: A novel technique for embedding digital "watermarks" into digital audio signals by filtering a PN-sequence with a filter that approximates the frequency masking characteristics of the human auditory system (HAS).
Abstract: In this paper, we present a novel technique for embedding digital "watermarks" into digital audio signals. Watermarking is a technique used to label digital media by hiding copyright or other information into the underlying data. The watermark must be imperceptible and should be robust to attacks and other types of distortion. In addition, the watermark also should be undetectable by all users except the author of the piece. In our method, the watermark is generated by filtering a PN-sequence with a filter that approximates the frequency masking characteristics of the human auditory system (HAS). It is then weighted in the time domain to account for temporal masking. We discuss the detection of the watermark and assess the robustness of our watermarking approach to attacks and various signal manipulations.

689 citations

Proceedings ArticleDOI
15 May 1994
TL;DR: The authors designed a processor capacity reservation mechanism that isolates programs from the timing and execution characteristics of other programs in the same way that a memory protection system isolates them from outside memory accesses.
Abstract: Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing scheduling algorithms of general purpose operating systems. The authors provide the predictability of real-time systems while retaining the flexibility of a time-sharing system. They designed a processor capacity reservation mechanism that isolates programs from the timing and execution characteristics of other programs in the same way that a memory protection system isolates them from outside memory accesses. In the paper, they describe a scheduling framework that supports reservation and admission control, and introduce a novel reserve abstraction, specifically designed for the microkernel architecture, for measuring and controlling processor usage. The authors have implemented processor capacity reserves in Real-Time Mach, and they describe the performance of their system on several types of applications. >

451 citations

Proceedings ArticleDOI
15 May 1995
TL;DR: The proposed system can classify a sequence of soccer frames into various play categories, such as shot at left goal, top left corner kick play in right penalty area, in midfield, etc, based on a priori model comprising four major components: a soccer court, a ball, the players and the motion vectors.
Abstract: While automatic parsing of general video images are difficult or nearly impossible, parsing a specific type of video image can be achieved if the video structure can be explicitly identified and its model can be constructed. The paper presents ongoing work on using domain knowledge to parse content of soccer video programs. The proposed system can classify a sequence of soccer frames into various play categories, such as shot at left goal, top left corner kick play in right penalty area, in midfield, etc, based on a priori model comprising four major components: a soccer court, a ball, the players and the motion vectors. Approaches in applying the model for parsing soccer programs are presented in detail. Experimental results are included to evaluate the performance of the system.

408 citations

Proceedings ArticleDOI
03 Jun 1997
TL;DR: Two methods for detecting and extracting commercials in digital videos are described and it is shown how both approaches can be combined into a self-learning system.
Abstract: TV commercials are interesting in many respects: advertisers and psychologists are interested in their influence on human purchasing habits, while parents might be interested in shielding their children from their influence. In this paper, two methods for detecting and extracting commercials in digital videos are described. The first method is based on statistics of measurable features and enables the detection of commercial blocks within TV broadcasts. The second method performs detection and recognition of known commercials with high accuracy. Finally, we show how both approaches can be combined into a self-learning system. Our experimental results underline the practicality of the methods.

328 citations

Proceedings ArticleDOI
17 Jun 1996
TL;DR: This study proposes a batching policy that schedules the video with the maximum factored queue length and shows that MFQ yields excellent empirical results in terms of standard performance measures such as average latency time, defection rates and fairness.
Abstract: In a video-on-demand environment, batching of video requests is often used to reduce I/O demand and improve throughput. Since viewers may defect if they experience long waits, a good video scheduling policy needs to consider not only the batch size but also the viewer defection probabilities and wait times. Two conventional scheduling policies for batching are first-come-first-served (FCFS) and maximum queue length (MOL). Neither of these policies lead to entirely satisfactory results. MQL tends to be too aggressive in scheduling popular videos by only considering the queue length to maximize batch size, while FCFS has the opposite effect. We introduce the notion of factored queue length and propose a batching policy that schedules the video with the maximum factored queue length. We refer to this as the MFQ policy. The factored queue length is obtained by weighting each video queue length with a factor which is biased against the more popular videos. An optimization problem is formulated to solve the best weighting factors for the various videos. A simulation is developed to compare the proposed MFQ policy with FCFS and MQL. Our study shows that MFQ yields excellent empirical results in terms of standard performance measures such as average latency time, defection rates and fairness.

307 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
201882
2016154
2014295
2012215
2011175
2009107