title: Implications and opportunities for Maori land in the Rotorua catchment

authors: Tahana, Arapeta

abstract: Arapeta is the Portfolio Manager, Waiariki Region, at Te Tumu Paeroa. He works with Maori land owners to enable them to achieve higher aspirations for their land and assets. He also collaborates with a wide range of other people and organisations, from owners in Māori land blocks, to government agencies, private sector companies and experts in many fields to find innovative and pragmatic solutions to the challenges of growing Māori. He is an elected member on the Māori Advisory Committee to RDC working to develop a meaningful partnership between Te Arawa and the Council.

text: Implications and opportunities for Maori land in the Rotorua catchment Arapeta is the Portfolio Manager, Waiariki Region, at Te Tumu Paeroa. He works with Maori land owners to enable them to achieve higher aspirations for their land and assets. He also collaborates with a wide range of other people and organisations, from owners in Māori land blocks, to government agencies, private sector companies and experts in many fields to find innovative and pragmatic solutions to the challenges of growing Māori. He is an elected member on the Māori Advisory Committee to RDC working to develop a meaningful partnership between Te Arawa and the Council.

year: 2013

title: Ka Māpuna: Towards a rangatiratanga framework for the governance of waterways

authors: Martin, Betsan

abstract: Rangatiratanga is thenavigational courseforthis research, the aspiration that guides a frameworkfor thegovernance which, in respect ofwaterways and Te Taiao secures mauri, ecosystem health, and water for domestic and commercial use. Rangatiratanga encompasses mana whakahaeredecision-making throughout all relevantgovernance systems. In respect of resource governance, this needs to be achieved through mana whenua authorities and co-governance institutions and procedures.

text: Ka Māpuna: Towards a rangatiratanga framework for the governance of waterways Rangatiratanga is thenavigational courseforthis research, the aspiration that guides a frameworkfor thegovernance which, in respect ofwaterways and Te Taiao secures mauri, ecosystem health, and water for domestic and commercial use. Rangatiratanga encompasses mana whakahaeredecision-making throughout all relevantgovernance systems. In respect of resource governance, this needs to be achieved through mana whenua authorities and co-governance institutions and procedures.

year: 2021

title: Video quality assessment considering the features of the Human Visual System

authors: Mozhaeva, Anastasia

abstract: Nowadays, numerous video compression quality assessment metrics are available. Some of these metrics are “objective” and only tangentially represent how a human observer rates video quality. On the other hand, models of the human visual system have been shown to be effective at describing spatial coding. In this work we propose a new quality metric which extends the peak signal to noise ratio metric with features of the human visual system measured using modern LCD screens. We also analyse the current visibility models of the early visual system and compare the commonly used quality metrics with metrics containing data modelling human perception. We examine the Pearson’s linear correlation coefficient of the various video compression quality metrics with human subjective scores on videos from the publicly available Netflix data set. Of the metrics tested, our new proposed metric is found to have the most stable high performance in predicting subjective video compression quality.

text: Video quality assessment considering the features of the Human Visual System Nowadays, numerous video compression quality assessment metrics are available. Some of these metrics are “objective” and only tangentially represent how a human observer rates video quality. On the other hand, models of the human visual system have been shown to be effective at describing spatial coding. In this work we propose a new quality metric which extends the peak signal to noise ratio metric with features of the human visual system measured using modern LCD screens. We also analyse the current visibility models of the early visual system and compare the commonly used quality metrics with metrics containing data modelling human perception. We examine the Pearson’s linear correlation coefficient of the various video compression quality metrics with human subjective scores on videos from the publicly available Netflix data set. Of the metrics tested, our new proposed metric is found to have the most stable high performance in predicting subjective video compression quality.

year: 2023