Photo navigator

Hsieh, Chi-Chang; Cheng, Winton; Chang, Chia-Hu; Chuang, Yung-Yu; Wu, Ja‐Ling

doi:10.1145/1459359.1459415

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…Chinese Academy of Sciences et al jointly developed “Feature-based Multimedia Information Retrieval System MIRES” (Yi et al , 2010). In addition, the team of Zhejiang University also developed Photo Navigator, Photo Engine, Web scope CBR and other systems (Hsieh et al , 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing the behavior of multi-modal information search

Zhu

2021

LHT

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PurposeWith the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode.Design/methodology/approachA research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS.FindingsThe research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors.Originality/valueFor the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.

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Section: Literature Reviewmentioning

confidence: 99%

Factors influencing the behavior of multi-modal information search

Zhu

2021

LHT

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“…image-based) visualization as a way to enhance user experience [28,20,10,13]. At each frame, they show only the locally interesting set of (2D-3D) data.…”

Section: Related Workmentioning

confidence: 99%

Browsing Large Image Datasets through Voronoi Diagrams

Brivio

Tarini

Cignoni

2010

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. An example of a thumbnail bar, shaped as a belt that partially encircles the title of this paper. It features irregular shaped thumbnails with gradually decreasing sizes, starting from the currently selected image (in the middle). Shown thumbnails represent a dynamic subset of a large dataset composed of a few thousands of images; the selected subset is adaptive, denser around the selected image and respectful of existing image hierarchies. When a new image is selected, the thumbnails dynamically rearrange around the new selection in a configuration preserving all the above characteristics and without breaking temporal continuity.Abstract-Conventional browsing of image collections use mechanisms such as thumbnails arranged on a regular grid or on a line, often mounted over a scrollable panel. However, this approach does not scale well with the size of the datasets (number of images). In this paper, we propose a new thumbnail-based interface to browse large collections of images. Our approach is based on weighted centroidal anisotropic Voronoi diagrams. A dynamically changing subset of images is represented by thumbnails and shown on the screen. Thumbnails are shaped like general polygons, to better cover screen space, while still reflecting the original aspect ratios or orientation of the represented images. During the browsing process, thumbnails are dynamically rearranged, reshaped and rescaled. The objective is to devote more screen space (more numerous and larger thumbnails) to the parts of the dataset closer to the current region of interest, and progressively lesser away from it, while still making the dataset visible as a whole. During the entire process, temporal coherence is always maintained. GPU implementation easily guarantees the frame rates needed for fully smooth interactivity.

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“…The duplicated photos will be eliminated first before further processing [4,9]. Though some research work like Microsoft Photosynth 1 [18,17] and Photo Navigator [8] utilized the redundant information of a huge amount of photos to generate the 3D effects for photo browsing and presentation, they are not very suitable for creating a photo slideshow for casual usages.…”

Section: Introductionmentioning

confidence: 99%

“…Instead of using a single photo, Hsieh et al proposed Photo Navigator [8] which utilized the TIP method to create the 3D models of each photo and then connects them to generate a sequence of "walk-through" viewing path from one photo to another. Microsoft Photosynth 1 and their relative research projects, Photo Tourism [18,17], also utilized a number of photos to reconstruct a 3D space model and put the photos at the relative positions in it.…”

Section: Introductionmentioning

confidence: 99%

Sewing Photos: Smooth Transition between Photos

Kuo

Tsai

Cheng

et al. 2011

Lecture Notes in Computer Science

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Abstract. In this paper, a new smooth slideshow transition effect, Sewing Photos, is proposed while considering both of smooth content transition and smooth camera motion. Comparing to the traditional photo browsing and displaying work, which all focused on presenting splendid visual effects, Sewing Photos emphasizes on the smooth transition process between photos while taking the photo contents into account. Unlike splendid visual effects, the smooth transition tends to provide more comfortable watching experience and are good for a long-term photo displaying. To smooth the content transition, the system finds the similar parts between the photos first, and then decides what kind of camera operations should be applied according to the corresponding regions. After that, a virtual camera path will be generated according to the extracted Region of Interests (ROIs). To make the camera motion smoother, the camera path is generated as a cubic interpolation spline.

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Photo navigator

Cited by 14 publications

References 14 publications

Factors influencing the behavior of multi-modal information search

Factors influencing the behavior of multi-modal information search

Browsing Large Image Datasets through Voronoi Diagrams

Sewing Photos: Smooth Transition between Photos

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