000			02854nam a22003618i 4500
001			CR9781139342223
003			UkCbUP
005			20200124160258.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			120227s2013||||enk o ||1 0|eng|d
020			_a9781139342223 (ebook)
020			_z9781107029606 (hardback)
020			_z9781107531758 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP396 _b.L44 2013
082	0	0	_a612.8 _223
100	1		_aLeeuwenberg, E. L. J. _q(Emanuel Laurens Jan), _eauthor.
245	1	0	_aStructural information theory : _bthe simplicity of visual form / _cEmanuel L. J. Leeuwenberg, Peter A. van der Helm.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xvi, 319 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine generated contents note: Introduction; Part I. Towards a Theory of Visual Form: 1. Borders of perception; 2. Attributes of visual form; 3. Process and representation; 4. Models and principles; 5. Assumptions and foundations; Part II. Applications to Visual Form: 6. Formal coding model; 7. A perceptual coding manual; 8. Preference effects; 9. Time effects; 10. Hierarchy effects; Part III. Extensions: 11. Perception beyond SIT; 12. SIT beyond perception; Overview; Conclusion.
520			_aStructural information theory is a coherent theory about the way the human visual system organises a raw visual stimulus into objects and object parts. To humans, a visual stimulus usually has one clear interpretation even though, in theory, any stimulus can be interpreted in numerous ways. To explain this, the theory focuses on the nature of perceptual interpretations rather than on underlying process mechanisms and adopts the simplicity principle which promotes efficiency of internal resources rather than the likelihood principle which promotes veridicality in the external world. This theoretically underpinned starting point gives rise to quantitative models and verifiable predictions for many visual phenomena, including amodal completion, subjective contours, transparency, brightness contrast, brightness assimilation and neon illusions. It also explains phenomena such as induced temporal order, temporal context effects and hierarchical dominance effects, and extends to evaluative pattern qualities such as distinctiveness, interestingness and beauty.
650		0	_aHuman information processing.
650		0	_aInformation theory in psychology.
700	1		_aHelm, Peter A. van der, _eauthor.
776	0	8	_iPrint version: _z9781107029606
856	4	0	_uhttps://doi.org/10.1017/CBO9781139342223
999			_c520139 _d520137