Alcatel Lucent

Vinay Namboodiri

Maarten Aerts

Sammy Lievens

Patrice Rondao Alface

Erwin Six

Mohamed Ali Feki

Donny Tytgat

Jean-François Macq

Nico Verzijp

A system for making available at an end-user a media file, from a media provider comprising a media file patch related to at least one object, the system comprising: an encoding module at the media provider configured for determining at least one representation which resembles the media file patch, by comparing the media file patch with representations of said at least one object, and for including at least one identification corresponding with said representation in a skeleton file; a storage medium storing a dictionary including the representations of the at least one object at of the end-user and an intermediate node between the media provider and/or the end-user; a decoding module configured for decoding the skeleton file using the identification for looking up the corresponding representation in the dictionary of the storage medium and for rendering the media file patch based on the looked-up corresponding representation.

Efficient and scalable caching and representation of media with cross-similarities

Method for capturing an environment with objects, using a 3D camera, wherein the images of the cameras captured at different moments in time are used to generate 3D models, and wherein accuracy values are assigned to segments of the models allowing efficient refining of the models using the accuracy values.

Capturing an environment with objects

A Method for retrieving at least one image from a database (DB) of images based on at least two input images (image i, image j), comprises the steps of determining () first low level feature correspondences (LC) between said at least two input images (image i, image j), searching () within said database (DB) for at least two sets (Mi, Mj) of images respectively matching said at least to images (image i, image j), determining () second low level features correspondences (LC) between respective images from said at least two sets of images (Mi, Mj), determining () a first set of relationships (RLC) between entities of said at least two input images (image i, image j) based on said first low level feature correspondences (LC), determining () a second set of relationships (RLC) between respective entities of said respective images from said at least two sets of images (Mi, Mj) based on said second low level feature correspondences (LC), identifying () matching relationships between said first set of relationships (RLC) and said second set of relationships (RLC), checking () the quality of the matching relationships, and, if matching relationships of sufficient quality are found, retrieving () the at least one image corresponding to the matching relationships of said second set from said database, and providing said at least one image of said second set as output.

Method and arrangement for image retrieval based on multiple images

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Mumbai, India

Vinay Namboodiri