title: Mental health at Tokanui in the early years

authors: Campion, Michelle Edith

abstract: Tokanui was the first hospital to be built entirely to the villa design, and as such, its physically separate wards presented considerable opportunity for the classification and treatment of patients. Piecing together information contained in the remaining records, this chapter describes the formative years at Tokanui, during which not only a hospital, but also a community was established. The narrative which follows tells of buildings erected, land broken, cultivated and beautified, of hard physical labour and trying conditions. Above all, it is a narrative of the people who worked and lived, however fleetingly, at Tokanui and without whom the hospital would not have had a purpose. As the first new hospital to be built after provincial time, Tokanui, in many respects, led the way in developments made in the accommodation and treatment of the psychiatrically ill and those with intellectual disability.

text: Mental health at Tokanui in the early years Tokanui was the first hospital to be built entirely to the villa design, and as such, its physically separate wards presented considerable opportunity for the classification and treatment of patients. Piecing together information contained in the remaining records, this chapter describes the formative years at Tokanui, during which not only a hospital, but also a community was established. The narrative which follows tells of buildings erected, land broken, cultivated and beautified, of hard physical labour and trying conditions. Above all, it is a narrative of the people who worked and lived, however fleetingly, at Tokanui and without whom the hospital would not have had a purpose. As the first new hospital to be built after provincial time, Tokanui, in many respects, led the way in developments made in the accommodation and treatment of the psychiatrically ill and those with intellectual disability.

year: 2012

title: Musical image compression

authors: Bainbridge, David

subjects: computer science

abstract: Optical music recognition aims to convert the vast repositories of sheet music in the world into an on-line digital format [Bai97]. In the near future it will be possible to assimilate music into digital libraries and users will be able to perform searches based on a sung melody in addition to typical text-based searching [MSW+96]. An important requirement for such a system is the ability to reproduce the original score as accurately as possible. Due to the huge amount of sheet music available, the efficient storage of musical images is an important topic of study. 
This paper investigates whether the “knowledge” extracted from the optical music recognition (OMR) process can be exploited to gain higher compression than the JBIG international standard for bi-level image compression. We present a hybrid approach where the primitive shapes of music extracted by the optical music recognition process-note heads, note stems, staff lines and so forth-are fed into a graphical symbol based compression scheme originally designed for images containing mainly printed text. Using this hybrid approach the average compression rate for a single page is improved by 3.5% over JBIG. When multiple pages with similar typography are processed in sequence, the file size is decreased by 4-8%.
Section 2 presents the relevant background to both optical music recognition and textual image compression. Section 3 describes the experiments performed on 66 test images, outlining the combinations of parameters that were examined to give the best results. The initial results and refinements are presented in Section 4, and we conclude in the last section by summarizing the findings of this work.

text: Musical image compression Optical music recognition aims to convert the vast repositories of sheet music in the world into an on-line digital format [Bai97]. In the near future it will be possible to assimilate music into digital libraries and users will be able to perform searches based on a sung melody in addition to typical text-based searching [MSW+96]. An important requirement for such a system is the ability to reproduce the original score as accurately as possible. Due to the huge amount of sheet music available, the efficient storage of musical images is an important topic of study. 
This paper investigates whether the “knowledge” extracted from the optical music recognition (OMR) process can be exploited to gain higher compression than the JBIG international standard for bi-level image compression. We present a hybrid approach where the primitive shapes of music extracted by the optical music recognition process-note heads, note stems, staff lines and so forth-are fed into a graphical symbol based compression scheme originally designed for images containing mainly printed text. Using this hybrid approach the average compression rate for a single page is improved by 3.5% over JBIG. When multiple pages with similar typography are processed in sequence, the file size is decreased by 4-8%.
Section 2 presents the relevant background to both optical music recognition and textual image compression. Section 3 describes the experiments performed on 66 test images, outlining the combinations of parameters that were examined to give the best results. The initial results and refinements are presented in Section 4, and we conclude in the last section by summarizing the findings of this work.

year: 1997-11

title: E ia, e ia

authors: Maxwell, Te Kahautu

abstract: Poi, Lyrics composed by Te Kahautu Maxwell, Musical score composed by Te Whānau Mitai. Performed by Ōpōtiki Mai Tawhiti (Kapa Haka group) (3mins)

Waiata ā Tira: Aroha
Whakaeke: Pinepine Te Kura, Hau Te Kura
Mōteatea: Te Ao o Te Pārerā
Waiata ā Ringa: E pā to reo, Te Matatini, Herewini Parata
Poi: E ia e ia
Haka: Te Kōtiritiri, Te Kōtaratara
Whakawātea: Ōranga Tōiti, tōnui kōrero

text: E ia, e ia Poi, Lyrics composed by Te Kahautu Maxwell, Musical score composed by Te Whānau Mitai. Performed by Ōpōtiki Mai Tawhiti (Kapa Haka group) (3mins)

Waiata ā Tira: Aroha
Whakaeke: Pinepine Te Kura, Hau Te Kura
Mōteatea: Te Ao o Te Pārerā
Waiata ā Ringa: E pā to reo, Te Matatini, Herewini Parata
Poi: E ia e ia
Haka: Te Kōtiritiri, Te Kōtaratara
Whakawātea: Ōranga Tōiti, tōnui kōrero

year: 2023-02-22