Context based object categorization: A critical survey

Galleguillos, Carolina; Belongie, Serge

doi:10.1016/j.cviu.2010.02.004

Cited by 305 publications

(168 citation statements)

References 30 publications

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“…Human faces are most likely linked with other body parts, and these other body parts can provide a strong cue of faces. There has been some recent work on context based object categorization [214] and visual tracking [215]. One scheme that uses local context to improve face detection was also presented in [216], and we think that this is also a very promising research direction to pursue.…”

Section: Discussion Future Work and Conclusionmentioning

confidence: 99%

A survey on face detection in the wild: Past, present and future

Zafeiriou

Cha

Zhang

2015

Computer Vision and Image Understanding

386

167

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Section: Discussion Future Work and Conclusionmentioning

confidence: 99%

A survey on face detection in the wild: Past, present and future

Zafeiriou

Cha

Zhang

2015

Computer Vision and Image Understanding

386

167

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“…Global context, which takes into account the object-scene interactions, can be used to restrict the possible objects that may be appeared in the scene [11,24], while local context takes into account the interactions between objects [12], patches [2], or pixels [13]. Compared with global context, local context is easily accessible from training data, without expensive computations [17]. Moreover, when many different objects are appeared in an image, the contextual interactions between objects are most beneficial to capture information about the objects.…”

Section: Related Workmentioning

confidence: 99%

“…With the in-depth study, researchers have paid attention to the important role of contextual information for object categorization. A detailed survey of various contextual models for object categorization has been presented in the literatures [17,18,22].…”

Section: Related Workmentioning

confidence: 99%

Contextual object categorisation with energy‐based model

Ri¹,

DuHo²,

Choe³

et al. 2017

J. eng.

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：Object categorization is a hot issue of an image mining. Contextual information between objects is one of the important semantic knowledge of an image. However, the previous researches for an object categorization have not made full use of the contextual information, especially the spatial relations between objects. In addition, the object categorization methods, which generally use the probabilistic graphical models to implement the incorporation of contextual information with appearance of objects, are almost inevitable to evaluate the intractable partition function for normalization. In this work, we introduced fully-connected fuzzy spatial relations including directional, distance and topological relations between object regions, so the spatial relational information could be fully utilized. Then, the spatial relations were considered as well as co-occurrence and appearance of objects by using energy-based model, where the energy function was defined as the region-object association potential and the configuration potential of objects. Minimizing the energy function of whole image arrangement, we obtained the optimal label set about the image regions and addressed the evaluation of intractable partition function in conditional random fields. Experimental results show the validity and reliability of this proposed method.

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“…While [34] provides a review of the different ways of using CI for object categorization in still images.…”

Section: Image Processing and Understandingmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of ''context''. It shows how its fortune in the distributed computing world eventually per-meated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploita-tion dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.

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Context based object categorization: A critical survey

Cited by 305 publications

References 30 publications

A survey on face detection in the wild: Past, present and future

A survey on face detection in the wild: Past, present and future

Contextual object categorisation with energy‐based model

Context-based Information Fusion: A survey and discussion

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