No abstract

We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fades, dissolves and wipes, even in sequences involving signi cant motion. We detect the appearance of intensity edges that are distant from edges in the previous frame. A global motion computation is used to handle camera or object motion. The algorithm we propose withstands JPEG and MPEG artifacts, even at very high compression rates. Experimental evidence demonstrates that our method can detect and classify scene breaks that are di cult to detect with previous approaches. An initial implementation runs at approximately 2 frames p e r second on a Sun workstation.

Purpose -The paper's purpose is to describe the extent and type of voluntary disclosure of intellectual capital (IC) in New Zealand, and to test for a relationship between "hidden value" (difference between firm's market and book value), and its relationship to voluntary IC disclosure in the annual reports of New Zealand companies. The study aims to incorporate the effect of revaluations and growth expectations. Design/methodology/approach -Content analysis of 70 publicly listed New Zealand firms, and database retrieval of independent variable data. Correlation and regression analysis is undertaken. Findings -Only revaluing firms show a significant positive relationship between their levels of hidden value and their voluntary disclosure of IC and its components of external and internal structure. Explanatory power is increased when an interaction term involving hidden value and growth expectations is introduced. Research limitations/implications -Further developments in the growth expectation and market value measures are suggested. A need for qualitative interviews is identified in order to further develop theoretical explanation of the observed relationship. Practical implications -This paper may help external users assess levels of IC in revaluing firms. Originality/value -The study extends the work of Brennan by increasing the sample size, quantitatively recognising the impact of revaluations and growth expectations, providing a discussion of the theoretical underpinnings for the proposed relationships, and by utilising reliability testing in the content-analysis process, several measures of hidden value and IC disclosure, and statistical testing.

No abstract

We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fades, dissolves and wipes, even in sequences involving signi cant motion. We detect the appearance of intensity edges that are distant from edges in the previous frame. A global motion computation is used to handle camera or object motion. The algorithm we propose withstands JPEG and MPEG artifacts, even at very high compression rates. Experimental evidence demonstrates that our method can detect and classify scene breaks that are di cult to detect with previous approaches. An initial implementation runs at approximately 2 frames p e r second on a Sun workstation.

establishes Internet conventions for label formats and distribution metbods wbile dictating neither a labelproblem inherent ing vocabulary nor who should pay in all media tbat attention to whicli labels. It is analoserve diverse audi-gous to specifying where on a packences: Not all mate-age a label should appear and in rials are appropriate what font size it should be printed without specifying what it should say. The PICS conventions have caught on quickly. In early 1996, IBM, Microsoft, Microsystems, I Oriiibc-r 19

No abstract

Smartphones have enjoyed nearly unprecedented rates of adoption, and within a short time they have quickly become a uniquely important mobile communication device, especially among young people. While such observations are compelling, they lack a conceptual context. This paper theorizes the smartphone in the general terms of mediatization. Emphasis is on existing and emerging technologies of the mediatization process and the consequent “intercorporeal” relationships users construct with the smartphone. Empirical findings about the often intensely personal usage of the smartphone document this phenomenology. The paper concludes by introducing three provocative implications of new media like the smartphone, which are both indicators and motors of mediatization, as focuses for future study: technogenesis, or the coevolution of people and their information machines; embodied and extended cognition, the intensifying interweaving of mind and thinking machines; and the subjectifying process of individualization, ever more dependent on digital self-creation and self-maintenance.