Hosseinkhani (2020)

Author

Hosseinkhani, L.

Year

2020

Title

Gradual Saliency Detection in Video Sequences Using Bottom-up Attributes

University

Carleton University

Discipline (uncoded)

Engineering, Electrical and Computer

Macrostructure

Hybrid Complex/ Manuscript

Proposed Area of Unconventionality
(Tardy, 2016)

Linguistic & Textual form

Description and other notes

Inclusion of published materials in chapters, yet not a manuscript-based thesis according to Carleton’s policies.  Unconventional inclusion of published materials. Hybrid manuscript format, according to Anderson et al.

(Proposed) Degree of separation or connection between atypical or unconventional component(s) and conventional or written component(s)

Connected. Atypical or unconventional components are positioned as inextricable from the written or conventional components.

(Proposed) Type of relationship construed between atypical or unconventional component(s) and conventional or written component(s)

Unsure. If Intermingled: There is a sense of interdependence between the atypical or unconventional and written or conventional component(s) and a distinct understanding that they are a part of the same project. 

Notes/Reasoning

None

Discipline 2 (coded)

Engineering

Discipline Grouping (coded)

STEM

Source

Carleton