Resource allocation for real-time video coding system

Abstract. In an effort to quantify message complexity in such a way that predictions regarding the moment-to-moment cognitive and emotional processing of viewers would be made, Lang and her colleagues devised the coding system information introduced (or ii). This coding system quantifies the number of structural features that are known to consume cognitive resources and considers it in combination with the number of camera changes (cc) in the video, which supply additional cognitive resources owing to their elicitation of an orienting response. This study further validates ii using psychophysiological responses that index cognitive resource allocation and recognition memory. We also pose two novel hypotheses regarding the confluence of controlled and automatic processing and the effect of cognitive overload on enjoyment of messages. Thirty television advertisements were selected from a pool of 172 (all 20 s in length) based on their ii/cc ratio and ratings for their arousing content. Heart rate change over time showed significant deceleration (indicative of increased cognitive resource allocation) for messages with greater ii/cc ratios. Further, recognition memory worsened as ii/cc increased. It was also found that message complexity increases both automatic and controlled allocations to processing, and that the most complex messages may have created a state of cognitive overload, which was received as enjoyable by the participants in this television context.

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Utility and Real Time Traffic QoS Jointly Guaranteed Resource Allocation Scheme

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2012.01174 ◽

2014 ◽

Vol 35 (5) ◽

pp. 1257-1261

Author(s):

Liang Qing ◽

Xu-ming Fang ◽

Bin Zeng

Keyword(s):

Resource Allocation ◽

Real Time ◽

Allocation Scheme ◽

Real Time Traffic ◽

Resource Allocation Scheme

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SAFER model: Strategic allocation of fundamental epidemic resources

Journal of Public Health ◽

10.1093/pubmed/fdaa179 ◽

2020 ◽

Author(s):

B W Weston ◽

Z N Swingen ◽

S Gramann ◽

D Pojar

Keyword(s):

Resource Allocation ◽

Real Time ◽

Community Based ◽

Broad Distribution ◽

Census Tracts ◽

Milwaukee County ◽

Strategic Allocation ◽

Four Quadrant ◽

Time Resource ◽

Critical Resources

Abstract Background To describe the Strategic Allocation of Fundamental Epidemic Resources (SAFER) model as a method to inform equitable community distribution of critical resources and testing infrastructure. Methods The SAFER model incorporates a four-quadrant design to categorize a given community based on two scales: testing rate and positivity rate. Three models for stratifying testing rates and positivity rates were applied to census tracts in Milwaukee County, Wisconsin: using median values (MVs), cluster-based classification and goal-oriented values (GVs). Results Each of the three approaches had its strengths. MV stratification divided the categories most evenly across geography, aiding in assessing resource distribution in a fixed resource and testing capacity environment. The cluster-based stratification resulted in a less broad distribution but likely provides a truer distribution of communities. The GVs grouping displayed the least variation across communities, yet best highlighted our areas of need. Conclusions The SAFER model allowed the distribution of census tracts into categories to aid in informing resource and testing allocation. The MV stratification was found to be of most utility in our community for near real time resource allocation based on even distribution of census tracts. The GVs approach was found to better demonstrate areas of need.

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